Data and source validation for equipment output data or equipment failure prediction using blockchains

ABSTRACT

Novel tools and techniques are provided for implementing data and source validation for equipment output data and/or for equipment failure predict. In various embodiments, in response to receiving a first request for first data that is output by first equipment, a computing system might retrieve and analyze the first data to determine whether the first data can be trusted. If so, the computing system might send the first data to the requesting device. If not, the computing system might send a second request for identifying a blockchain containing a block containing a copy of the first data. In response to the blockchain system identifying such a blockchain, the computing system might receive the identified blockchain; might abstract the block containing the copy of the first data from the identified blockchain; might abstract the first data from the block; and might send the first data to the requesting device.

CROSS-REFERENCES TO RELATED APPLICATIONS

This application claims priority to U.S. Patent Application Ser. No.62/801,235 (the “'235 application”), filed Feb. 5, 2019 by Kevin M.McBride et al., entitled, “Method and System for Utilizing Blockchainsto Implement Named Data Networking,” U.S. Patent Application Ser. No.62/818,539 (the “'539 application”), filed Mar. 14, 2019 by Steven M.Casey et al., entitled, “Method and System for Implementing Data andSource Validation for Equipment Output Data or Equipment FailurePrediction Using Blockchains,” and U.S. Patent Application Ser. No.62/957,065 (the “'065 application”), filed Jan. 3, 2020 by Kevin M.McBride et al., entitled, “Data and Source Validation for EquipmentOutput Data or Equipment Failure Prediction Using Blockchains orTracking or Storing of Equipment Configuration Data Using ImmutableLedger Functionality of Blockchains,” the disclosure of each of which isincorporated herein by reference in its entirety for all purposes.

This application may be related to one or more of: U.S. patentapplication Ser. No. 16/774,962 (the “'962 application”), filed Jan. 28,2020 by Kevin M. McBride et al., entitled, “Utilizing Blockchains toImplement Named Data Networking”; or U.S. patent application Ser. No.16/774,989 (the “'989 application”), filed Jan. 28, 2020 by Kevin M.McBride et al., entitled, “Tracking or Storing of EquipmentConfiguration Data Using Immutable Ledger Functionality of Blockchains.”Each of these applications claims priority to the '235, '539, and '065applications.

The respective disclosures of these applications/patents (which thisdocument refers to collectively as the “Related Applications”) areincorporated herein by reference in their entirety for all purposes.

COPYRIGHT STATEMENT

A portion of the disclosure of this patent document contains materialthat is subject to copyright protection. The copyright owner has noobjection to the facsimile reproduction by anyone of the patent documentor the patent disclosure as it appears in the Patent and TrademarkOffice patent file or records, but otherwise reserves all copyrightrights whatsoever.

FIELD

The present disclosure relates, in general, to methods, systems, andapparatuses for implementing equipment output data validation orequipment failure prediction, and, more particularly, to methods,systems, and apparatuses for utilizing blockchains to implement data andsource validation for equipment output data and/or for equipment failureprediction. The present disclosure also relates, in general, to methods,systems, and apparatuses for implementing tracking or storing ofequipment configuration data, and, more particularly, to methods,systems, and apparatuses for utilizing the immutable ledgerfunctionality of blockchains to track and/or store equipmentconfiguration data.

BACKGROUND

In conventional systems, information or data from devices or fromlogging or record systems might be received by data disseminationsystems or data collection systems. Such information or data, however,may be susceptible to interception by nefarious parties and/or spoofingby such parties, thus resulting in information or data that isunreliable or untrustworthy, especially where such information or datamay be relied upon for predicting equipment failure.

In other conventional systems, configuration data that may be used toconfigure operation of equipment, when sent from the equipment to a datastorage device or other device, may be intercepted or accessed and maybe changed without authorization or by accident. In some cases, whenequipment failure or communication failure by the equipment occurs,being able to trust records of the equipment's configuration data isimportant, yet the configuration data of conventional systems may besusceptible to changes or falsification.

Hence, there is a need for more robust and scalable solutions forimplementing equipment output data validation or equipment failureprediction, and, more particularly, to methods, systems, and apparatusesfor utilizing blockchains to implement data and source validation forequipment output data and/or for equipment failure predict. There isalso a need for more robust and scalable solutions for implementingtracking or storing of equipment configuration data, and, moreparticularly, to methods, systems, and apparatuses for utilizing theimmutable ledger functionality of blockchains to track and/or storeequipment configuration data.

BRIEF DESCRIPTION OF THE DRAWINGS

A further understanding of the nature and advantages of particularembodiments may be realized by reference to the remaining portions ofthe specification and the drawings, in which like reference numerals areused to refer to similar components. In some instances, a sub-label isassociated with a reference numeral to denote one of multiple similarcomponents. When reference is made to a reference numeral withoutspecification to an existing sub-label, it is intended to refer to allsuch multiple similar components.

FIG. 1 is a schematic diagram illustrating a system for utilizingblockchains to implement data and source validation for equipment outputdata and/or for equipment failure prediction, in accordance with variousembodiments.

FIG. 2 is a schematic diagram illustrating an example of a blockchainthat may be used by a system that utilizes blockchains to implement dataand source validation for equipment output data and/or for equipmentfailure prediction, in accordance with various embodiments.

FIG. 3 is a schematic diagram illustrating another system for utilizingblockchains to implement data and source validation for equipment outputdata and/or for equipment failure prediction, in accordance with variousembodiments.

FIGS. 4A and 4B are schematic diagrams illustrating various embodimentsfor yet another system for utilizing blockchains to implement data andsource validation for equipment output data and/or for equipment failureprediction, in accordance with various embodiments.

FIG. 5 is a schematic diagram illustrating an embodiment for stillanother system for utilizing blockchains to implement data and sourcevalidation for equipment output data and/or for equipment failureprediction, in accordance with various embodiments.

FIGS. 6A and 6B are flow diagrams illustrating a method for utilizingblockchains to implement data and source validation for equipment outputdata and/or for equipment failure prediction, in accordance with variousembodiments.

FIG. 7 is a schematic diagram illustrating a system for utilizing theimmutable ledger functionality of blockchains to track and/or storeequipment configuration data, in accordance with various embodiments.

FIGS. 8A and 8B are flow diagrams illustrating a method for utilizingthe immutable ledger functionality of blockchains to track and/or storeequipment configuration data, in accordance with various embodiments.

FIG. 9 is a block diagram illustrating an exemplary computer or systemhardware architecture, in accordance with various embodiments.

FIG. 10 is a block diagram illustrating a networked system of computers,computing systems, or system hardware architecture, which can be used inaccordance with various embodiments.

DETAILED DESCRIPTION OF CERTAIN EMBODIMENTS Overview

Various embodiments provide tools and techniques for implementingequipment output data validation or equipment failure prediction, and,more particularly, to methods, systems, and apparatuses for utilizingblockchains to implement data and source validation for equipment outputdata and/or for equipment failure predict. The various embodiments alsoprovide tools and techniques for implementing tracking or storing ofequipment configuration data, and, more particularly, to methods,systems, and apparatuses for utilizing the immutable ledgerfunctionality of blockchains to track and/or store equipmentconfiguration data.

In various embodiments, a computing system might receive a first requestfor data that is output by first equipment from a user via a requestingdevice, and might determine whether a cache that is communicativelycoupled to the computing system contains data that is responsive to thereceived first request (e.g., data that is output by first equipment, orthe like). In some embodiments, the computing system might alsodetermine whether such data that is responsive to the received firstrequest (i.e., data that is output by the first equipment, etc.) can betrusted. Based on a determination that the cache contains data that isresponsive to the received first request and based on a determinationthat such data (which includes data as output by first equipment) can betrusted, the computing system might retrieve the data that is responsiveto the received first request, and might send the retrieved data to therequesting device. On the other hand, based on a determination that thecache does not contain data that is responsive to the received firstrequest and/or based on a determination that data that is stored in thecache(s) and that is responsive to the received first request cannot betrusted, the computing system might send, to a blockchain system, asecond request for identifying a blockchain containing a blockcontaining data responsive to the received first request, by identifyinga blockchain containing a block containing a copy of the first data thatis output by the first equipment.

In response to the blockchain system identifying a blockchain containinga block containing data responsive to the received first request, thecomputing system (or a blockchain computing system) might receive a copyof the identified blockchain from the blockchain system; might abstract,from the identified blockchain, the block containing the data responsiveto the received first request (i.e., the copy of the data that is outputby the first equipment, in this case); might abstract, from theidentified block, the data responsive to the received first request(i.e., the copy of the data that is output by the first equipment, inthis case); and might send the data (i.e., the data that is output bythe first equipment) to the requesting device.

In some embodiments, the computing system might each include, withoutlimitation, one of a data collection system, a real-time processingsystem, an artificial intelligence (“AI”) system, a server computer, acloud-based computing system over a network, or a distributed computingsystem, and/or the like. In some cases, the requesting device mightinclude, but is not limited to, one of a network node, a serviceprovider device, a laptop computer, a desktop computer, a tabletcomputer, a television set, a smart television, a media player, a gamingconsole, a set-top box (“STB”), a digital video recording (“DVR”)device, a smart phone, a mobile phone, or a personal digital assistant,and/or the like. According to some embodiments, the first equipmentmight be a physical device, where the first equipment might include,without limitation, one of an optical network device, a router, aserver, an Internet of Things (“IoT”) sensor, an IoT actuator, or acustomer interaction data collection system, and/or the like.Alternatively, the first equipment might be a virtual device, where thefirst equipment might include, but is not limited to, one of a virtualnetwork device, a virtual router, a server, or a virtual customerinteraction data collection system, and/or the like.

In some aspects, the computing system and/or the blockchain system mightanalyze the first data by performing at least one of data validationand/or source validation on the first data. In some cases, the firstdata might comprise source identification information, where performingsource validation on the first data might comprise validating the sourceidentification information contained in the first data. In someembodiments, the computing system and/or the blockchain system mightperform at least one of data validation and/or source validation using acombination of two or more of a real-time processing system, anintelligence system, an intelligence algorithms, and a support systems(which might include, without limitation, business, operations, ordevelopment systems, etc.), and/or the like. Data and/or sourcevalidation may, in some embodiments, also be performed at cache(s). Insome instances, analyzing the first data might comprise analyzing, withthe computing system and/or the blockchain system, the first data inreal-time or near-real-time.

Merely by way of example, in some instances, the determination that thefirst data as output by the first equipment being deemed to be trusteddata might be based on a determination that the first data as output bythe first equipment is within a predetermined range of threshold valuesor parameters, where the determination that the first data is deemed torequire further data validation might be based on a determination thatthe first data exceeds the predetermined range of threshold values orparameters.

According to some embodiments, the computing system might analyze thefirst data to predict equipment failure of the first equipment, based onanalysis of the first data, where the first data might include, withoutlimitation, at least one of a status of the first equipment, a change instatus of the first equipment, or one or more alerts output by the firstequipment, and/or the like. In some cases, the first data might furtherinclude, but is not limited to, at least one of a source identifier, adate and time stamp associated with each of at least one of the statusof the first equipment, the change in status of the first equipment, orthe one or more alerts output by the first equipment, and/or the like.

In some embodiments, the first data might include, without limitation,at least one of one or more portions of a log of interactions between auser and a service provider, data communicated by third party serviceprovider systems, data communicated by public service systems, or publicdata, and/or the like. In such cases, the interactions between the userand the service provider might include, but is not limited to, at leastone of online chats, text messages, telephone conversations, e-mailcommunications, software application usage, or service provider websiteinteraction by the user, and/or the like. In some instances, the publicdata might include, without limitation, at least one of weather data,stock data, news data, or street traffic data, and/or the like.

According to some embodiments, the first request might comprise a domainname system (“DNS”) request, where the data that is responsive to thereceived first request might comprise a DNS response comprising anInternet protocol (“IP”) address associated with a website. In suchcases, sending the second request to the blockchain system mightcomprise sending, with the computing system and to the blockchainsystem, the second request via a DNS decentralized application (“DApp”).In some embodiments, the first request might comprise a hypertexttransfer protocol (“HTTP”) record request, where the data that isresponsive to the received first request might comprise a JavaScriptobject notation (“JSON”) record response. In such cases, sending thesecond request to the blockchain system might comprise sending, with thecomputing system and to the blockchain system, the second request via arecord request DApp.

In some embodiments, the first request might include, but is not limitedto, one of service provider customer data, webpage information, orequipment service information, and/or the like. In some cases, sendingthe second request to the blockchain system might comprise sending, withthe computing system and to the blockchain system, the second requestvia corresponding one of a service provider customer data DApp, awebpage information DApp, or an equipment service information DApp,and/or the like. In some instances, the service provider customer datamight include, without limitation, one of customer data associated withInternet service, customer data associated with transportation service,customer data associated with cellular communications service, customerdata associated with data services, or customer data associated withmedia content services, and/or the like.

According to some embodiments, the first request might include, but isnot limited to, a request for information regarding a network device. Insome instances, metadata regarding the network device might be containedin the block of the identified blockchain, where the metadata mightinclude, without limitation, at least one of service information for thenetwork device, maintenance information for the network device, usagedata for the network device, geolocation information for the networkdevice, data control information for the network device, informationregarding critical events associated with the network device,information regarding open trouble tickets, or information regardingdata monetization for the network device, and/or the like. In somecases, the service information for the network device and themaintenance information for the network device might be abstracted fromservice records and stored, via the blockchain system, in one or morefirst blocks of a first blockchain. In some instances, the usage datafor the network device and the geolocation information for the networkdevice might be abstracted from usage data records and stored, via theblockchain system, in one or more second blocks of a second blockchain.Alternatively, or additionally, the data control information for thenetwork device might be abstracted from application programminginterface (“API”) calls and stored, via the blockchain system, in one ormore third blocks of a third blockchain. Alternatively, or additionally,the information regarding critical events associated with the networkdevice might be abstracted from a simple network management protocol(“SNMP”) events system and stored, via the blockchain system, in one ormore fourth blocks of a fourth blockchain. Alternatively, oradditionally, the information regarding open trouble tickets might beabstracted from a trouble tickets system and stored, via the blockchainsystem, in one or more fifth blocks of a fifth blockchain.Alternatively, or additionally, the information regarding datamonetization for the network device might be abstracted from a networkserver and stored, via the blockchain system, in one or more sixthblocks of a sixth blockchain. In some embodiments, two or more of thefirst blockchain, the second blockchain, third blockchain, fourthblockchain, fifth blockchain, or sixth blockchain might be the sameblockchain. In some cases, two or more of the one or more first blocks,the one or more second blocks, the one or more third blocks, the one ormore fourth blocks, the one or more fifth blocks, or the one or moresixth blocks might be the same one or more blocks.

In various other embodiments, a computing system might receive, from arequesting device, a first request for first configuration data that isoutput by first equipment, the first configuration data being used toconfigure operation of the first equipment. The computing system mightdetermine whether data repository that is communicatively coupled to thecomputing system (in this case, via a network(s), or the like) containsthe first configuration data that is responsive to the received firstrequest. Based on a determination that the data repository contains thefirst configuration data that is responsive to the received firstrequest, the computing system might retrieve the first configurationdata that is responsive to the received first request, and might sendthe retrieved first configuration data to the requesting device. Basedon a determination that the data repository does not contain the firstconfiguration data that is responsive to the received first request, thecomputing system might send, to blockchain system, a second request foridentifying a blockchain containing a block containing the firstconfiguration data responsive to the received first request.

In response to the blockchain system identifying a blockchain containinga block containing the first configuration data responsive to thereceived first request, the computing system might: receive a copy ofthe identified blockchain from the blockchain system; abstract, from theidentified blockchain, the block containing the first configuration dataresponsive to the received first request; abstract, from the identifiedblock, the first configuration data responsive to the received firstrequest; and send the first configuration data to the requesting device.

According to some embodiments, the first configuration data mightcomprise second configuration data including, but not limited to, atleast one of basic input/output system (“BIOS”) configuration data,storage configuration data, specialty card configuration data, securityconfiguration data, operating system (“OS”) configuration data, devicedriver configuration data, firmware configuration data, programminglanguage translation configuration data, system utility configurationdata, network configuration data, router configuration data, hostconfiguration data, software configuration data, power configurationdata, extensible firmware interface (“EFI”) configuration data, or EFIsystem partition (“ESP”) configuration data, and/or the like.

In some embodiments, the first configuration data might further comprisethird configuration data including, without limitation, at least one ofinformation regarding who created the second configuration data,information regarding who updated the second configuration data,information regarding who changed the second configuration data,information regarding who has accessed the second configuration data,information regarding requesting devices, information regarding when thesecond configuration data was created, information regarding when thesecond configuration data was updated, information regarding when thesecond configuration data was changed, information regarding when thesecond configuration data was accessed, or geospatial data of requestingdevices, and/or the like. In some instances, the first configurationdata might further comprise a unique identifier (“UID”) associated withone of the first equipment or the first configuration data.

According to some embodiments, the first equipment might send fourthconfiguration data to blockchain system (in some cases, as beacon dataor the like) either periodically or in response to at least one of thefourth configuration data being created, the fourth configuration databeing updated, the fourth configuration data being changed, the firstequipment being configured with the fourth configuration data,configuration of the first equipment being modified using the fourthconfiguration data, or configuration of the first equipment beingchanged using the fourth configuration data. The blockchain system mightgenerate a block of a blockchain by incorporating the fourthconfiguration data into the block and might validate the generatedblock. The blockchain containing the generated block may be stored indata repository. In some embodiments, the fourth configuration datamight be similar to the first configuration data.

The various embodiments described herein utilize the functionalities,advantages, and features of blockchain systems to make such informationor data more secure and more transparently reliable due to the inherentvalidation capabilities of blockchain ledgers or the like, and theinherent capabilities of blockchain systems to clearly prevent covertreplacement or modification of information contained in the blocks ofthe blockchain. The various embodiments might also utilize theblockchain system to perform data and/or source validation on data fromequipment, where such data, once validated, might be used for performingequipment failure prediction.

The various embodiments described herein further utilize thefunctionalities, advantages, and features of blockchain systems to makesecure configuration data that may be used to configure operation ofequipment. The various embodiments provide a more secure computinginfrastructure using mechanics from verifiable ledger-type validation,signing, or trust, etc., with machine configuration details wheremachines (including, but not limited to, servers, switches, IoT devices,or the like) act more like a set-top box (“STB”) to actually requesttheir configuration from a central server. In some examples, acentralized server (e.g., centralized Redfish server, or the like) woulddeprecate use of insecure systems (e.g., intelligent platform managementinterface (“IPMI”), or the like) while using a more STB-like check-inwith a Redfish-type deployment to a server or switch with information onwhere to secure boot (e.g., using pre-boot execution environment (“PXE”)or the like) from an image to come online or to become part of a computeinfrastructure with a current configuration making it ready fordiscovery and service before being re-imaged by changes in thecentralized server where customer attributes may be updated when theresource is consumed and needs new configuration applied (like BIOSconfiguration or storage controller configuration on a server, or thelike).

The following detailed description illustrates a few exemplaryembodiments in further detail to enable one of skill in the art topractice such embodiments. The described examples are provided forillustrative purposes and are not intended to limit the scope of theinvention.

In the following description, for the purposes of explanation, numerousspecific details are set forth in order to provide a thoroughunderstanding of the described embodiments. It will be apparent to oneskilled in the art, however, that other embodiments of the presentinvention may be practiced without some of these specific details. Inother instances, certain structures and devices are shown in blockdiagram form. Several embodiments are described herein, and whilevarious features are ascribed to different embodiments, it should beappreciated that the features described with respect to one embodimentmay be incorporated with other embodiments as well. By the same token,however, no single feature or features of any described embodimentshould be considered essential to every embodiment of the invention, asother embodiments of the invention may omit such features.

Unless otherwise indicated, all numbers used herein to expressquantities, dimensions, and so forth used should be understood as beingmodified in all instances by the term “about.” In this application, theuse of the singular includes the plural unless specifically statedotherwise, and use of the terms “and” and “or” means “and/or” unlessotherwise indicated. Moreover, the use of the term “including,” as wellas other forms, such as “includes” and “included,” should be considerednon-exclusive. Also, terms such as “element” or “component” encompassboth elements and components comprising one unit and elements andcomponents that comprise more than one unit, unless specifically statedotherwise.

Various embodiments described herein, while embodying (in some cases)software products, computer-performed methods, and/or computer systems,represent tangible, concrete improvements to existing technologicalareas, including, without limitation, named data system technologies,data logging technologies, data request and retrieval technologies, datacollection systems, and/or the like. In other aspects, certainembodiments, can improve the functioning of user equipment or systemsthemselves (e.g., named data systems, data logging systems, data requestand retrieval systems, data collection systems, etc.), for example, byreceiving, with a computing system and from a requesting device, a firstrequest for first data that is output by first equipment; in response toreceiving the first request for the first data, retrieving, with thecomputing system, the first data that is output by the first equipment;analyzing, with the computing system, the first data to determinewhether the first data as output by the first equipment can be trusted;based on a determination that the first data as output by the firstequipment is deemed to be trusted data, sending, with the computingsystem, the first data to the requesting device; based on adetermination that the first data is deemed to require further datavalidation, sending, with the computing system and to a blockchainsystem, a second request for identifying a blockchain containing a blockcontaining a copy of the first data that is output by the firstequipment; and in response to the blockchain system identifying theblockchain containing a copy of the first data that is output by thefirst equipment, performing the following: receiving, with the computingsystem, a copy of the identified blockchain from the blockchain system;abstracting, with the computing system and from the identifiedblockchain, the block containing the copy of the first data;abstracting, with the computing system and from the block, the copy ofthe first data that is output by the first equipment; and sending, withthe computing system, the first data to the requesting device; and/orthe like.

In particular, to the extent any abstract concepts are present in thevarious embodiments, those concepts can be implemented as describedherein by devices, software, systems, and methods that involve specificnovel functionality (e.g., steps or operations), such as, utilizing thefunctionalities, advantages, and features of blockchain systems to makeinformation or data that is output from equipment (e.g., at least one ofthe one or more optical equipment, the one or more routers, the one ormore servers, the one or more VMs, the one or more customer interactionsystems, or other internal network system, and/or at least one of theone or more partner systems, the one or more public systems, the one ormore public data systems, or other external network system, and/or thelike) more secure and more transparently reliable due to the inherentvalidation capabilities of blockchain ledgers or the like, and theinherent capabilities of blockchain systems to clearly prevent covertreplacement or modification of information contained in the blocks ofthe blockchain; to perform data and/or source validation on such datathat is output from the equipment; to perform equipment failureprediction; and/or the like, to name a few examples, that extend beyondmere conventional computer processing operations. These functionalitiescan produce tangible results outside of the implementing computersystem, including, merely by way of example, providing a more securesystem for collection, logging, and transfer of data that is output fromequipment, performing data and/or source validation on such data; and/orperforming equipment failure prediction; resulting in information ordata that is more reliable and more trustworthy, and/or the like, atleast some results of which may be observed or measured by customersand/or service providers.

In an aspect, a method might comprise receiving, with a computing systemand from a requesting device, a first request for first data that isoutput by first equipment; and in response to receiving the firstrequest for the first data, retrieving, with the computing system, thefirst data that is output by the first equipment. The method might alsocomprise analyzing, with the computing system, the first data todetermine whether the first data as output by the first equipment can betrusted; based on a determination that the first data as output by thefirst equipment is deemed to be trusted data, sending, with thecomputing system, the first data to the requesting device; and based ona determination that the first data is deemed to require further datavalidation, sending, with the computing system and to a blockchainsystem, a second request for identifying a blockchain containing a blockcontaining a copy of the first data that is output by the firstequipment. The method might further comprise, in response to theblockchain system identifying the blockchain containing a copy of thefirst data that is output by the first equipment, performing thefollowing: receiving, with the computing system, a copy of theidentified blockchain from the blockchain system; abstracting, with thecomputing system and from the identified blockchain, the blockcontaining the copy of the first data; abstracting, with the computingsystem and from the block, the copy of the first data that is output bythe first equipment; and sending, with the computing system, the firstdata to the requesting device.

In some embodiments, the computing system might comprise one of a datacollection system, a real-time processing system, an artificialintelligence (“AI”) system, a server computer, a cloud-based computingsystem over a network, or a distributed computing system, and/or thelike. In some cases, the requesting device might comprise one of anetwork node, a service provider device, a laptop computer, a desktopcomputer, a tablet computer, a television set, a smart television, amedia player, a gaming console, a set-top box (“STB”), a digital videorecording (“DVR”) device, a smart phone, a mobile phone, or a personaldigital assistant, and/or the like. According to some embodiments, thefirst equipment might be a physical device, wherein the first equipmentmight comprise one of an optical network device, a router, a server, anInternet of Things (“IoT”) sensor, an IoT actuator, or a customerinteraction data collection system, and/or the like. In some instances,the first equipment might be a virtual device, wherein the firstequipment might comprise one of a virtual network device, a virtualrouter, a server, or a virtual customer interaction data collectionsystem, and/or the like.

Merely by way of example, in some cases, the method might furthercomprise analyzing, with at least one of the computing system or theblockchain system, the first data by performing source validation on thefirst data. In some instances, the first data might comprise sourceidentification information, wherein performing source validation on thefirst data might comprise validating the source identificationinformation contained in the first data. In some cases, analyzing thefirst data might comprise analyzing, with the computing system, thefirst data in real-time or near-real-time. In some embodiments, thedetermination that the first data as output by the first equipment beingdeemed to be trusted data might be based on a determination that thefirst data as output by the first equipment is within a predeterminedrange of threshold values or parameters, wherein the determination thatthe first data is deemed to require further data validation might bebased on a determination that the first data exceeds the predeterminedrange of threshold values or parameters.

According to some embodiments, the method might further compriseanalyzing, with the computing system, the first data to predictequipment failure of the first equipment, based on analysis of the firstdata. The first data might comprise at least one of a status of thefirst equipment, a change in status of the first equipment, or one ormore alerts output by the first equipment, and/or the like. In someinstances, the first data might further comprise at least one of asource identifier, a date and time stamp associated with each of atleast one of the status of the first equipment, the change in status ofthe first equipment, or the one or more alerts output by the firstequipment, and/or the like.

In some embodiments, the first data might comprise at least one of oneor more portions of a log of interactions between a user and a serviceprovider, data communicated by third party service provider systems,data communicated by public service systems, or public data, and/or thelike. The interactions between the user and the service provider mightcomprise at least one of online chats, text messages, telephoneconversations, e-mail communications, software application usage, orservice provider website interaction by the user, and/or the like. Thepublic data might comprise at least one of weather data, stock data,news data, or street traffic data, and/or the like.

In another aspect, an apparatus might comprise at least one processorand a non-transitory computer readable medium communicatively coupled tothe at least one processor. The non-transitory computer readable mediummight have stored thereon computer software comprising a set ofinstructions that, when executed by the at least one processor, causesthe apparatus to: receive, from a requesting device, a first request forfirst data that is output by first equipment; in response to receivingthe first request for the first data, retrieve the first data that isoutput by the first equipment; analyze the first data to determinewhether the first data as output by the first equipment can be trusted;based on a determination that the first data as output by the firstequipment is deemed to be trusted data, send the first data to therequesting device; based on a determination that the first data isdeemed to require further data validation, send, to a blockchain system,a second request for identifying a blockchain containing a blockcontaining a copy of the first data that is output by the firstequipment; and in response to the blockchain system identifying theblockchain containing a copy of the first data that is output by thefirst equipment, perform the following: receiving a copy of theidentified blockchain from the blockchain system; abstracting, from theidentified blockchain, the block containing the copy of the first data;abstracting, from the block, the copy of the first data that is outputby the first equipment; and sending the first data to the requestingdevice.

In some embodiments, the apparatus might comprise one of a datacollection system, a real-time processing system, an artificialintelligence (“AI”) system, a server computer, a cloud-based computingsystem over a network, or a distributed computing system, and/or thelike. In some cases, the requesting device might comprise one of anetwork node, a service provider device, a laptop computer, a desktopcomputer, a tablet computer, a television set, a smart television, amedia player, a gaming console, a set-top box (“STB”), a digital videorecording (“DVR”) device, a smart phone, a mobile phone, or a personaldigital assistant, and/or the like.

According to some embodiments, the set of instructions, when executed bythe at least one processor, might further cause the apparatus to:analyze the first data by performing source validation on the firstdata. In some instances, the first data might comprise sourceidentification information, wherein performing source validation on thefirst data might comprise validating the source identificationinformation contained in the first data.

In some embodiments, the determination that the first data as output bythe first equipment being deemed to be trusted data might be based on adetermination that the first data as output by the first equipment iswithin a predetermined range of threshold values or parameters, whereinthe determination that the first data is deemed to require further datavalidation might be based on a determination that the first data exceedsthe predetermined range of threshold values or parameters.

According to some embodiments, the set of instructions, when executed bythe at least one processor, might further cause the apparatus to:analyze the first data to predict equipment failure of the firstequipment, based on analysis of the first data. The first data mightcomprise at least one of a status of the first equipment, a change instatus of the first equipment, or one or more alerts output by the firstequipment, and/or the like. The first data might further comprise atleast one of a source identifier, a date and time stamp associated witheach of at least one of the status of the first equipment, the change instatus of the first equipment, or the one or more alerts output by thefirst equipment, and/or the like.

In some embodiments, the first data might comprise at least one of oneor more portions of a log of interactions between a user and a serviceprovider, data communicated by third party service provider systems,data communicated by public service systems, or public data, and/or thelike. The interactions between the user and the service provider mightcomprise at least one of online chats, text messages, telephoneconversations, e-mail communications, software application usage, orservice provider website interaction by the user, and/or the like. Thepublic data might comprise at least one of weather data, stock data,news data, or street traffic data, and/or the like.

In yet another aspect, a system might comprise a computing system, whichmight comprise at least one first processor and a first non-transitorycomputer readable medium communicatively coupled to the at least onefirst processor. The first non-transitory computer readable medium mighthave stored thereon computer software comprising a first set ofinstructions that, when executed by the at least one first processor,causes the computing system to: receive, from a requesting device, afirst request for first data that is output by first equipment; inresponse to receiving the first request for the first data, retrieve thefirst data that is output by the first equipment; analyze the first datato determine whether the first data as output by the first equipment canbe trusted; based on a determination that the first data as output bythe first equipment is deemed to be trusted data, send the first data tothe requesting device; based on a determination that the first data isdeemed to require further data validation, send, to a blockchain system,a second request for identifying a blockchain containing a blockcontaining a copy of the first data that is output by the firstequipment; and in response to the blockchain system identifying theblockchain containing a copy of the first data that is output by thefirst equipment, perform the following: receiving a copy of theidentified blockchain from the blockchain system; abstracting, from theidentified blockchain, the block containing the copy of the first data;abstracting, from the block, the copy of the first data that is outputby the first equipment; and sending the first data to the requestingdevice.

In an aspect, a method might comprise receiving, with a computing systemand from a requesting device, a first request for first configurationdata that is output by first equipment, the first configuration databeing used to configure operation of the first equipment; determining,with the computing system, whether a data repository that iscommunicatively coupled to the computing system contains the firstconfiguration data that is responsive to the received first request;based on a determination that the data repository contains the firstconfiguration data that is responsive to the received first request,retrieving, with the computing system, the first configuration data thatis responsive to the received first request, and sending, with thecomputing system, the retrieved first configuration data to therequesting device; and based on a determination that the data repositorydoes not contain the first configuration data that is responsive to thereceived first request, sending, with the computing system and to ablockchain system, a second request for identifying a blockchaincontaining a block containing the first configuration data responsive tothe received first request.

The method might further comprise, in response to the blockchain systemidentifying a blockchain containing a block containing the firstconfiguration data responsive to the received first request, performingthe following: receiving, with the computing system, a copy of theidentified blockchain from the blockchain system; abstracting, with thecomputing system and from the identified blockchain, the blockcontaining the first configuration data responsive to the received firstrequest; abstracting, with the computing system and from the identifiedblock, the first configuration data responsive to the received firstrequest; and sending, with the computing system, the first configurationdata to the requesting device.

In some embodiments, the computing system might comprise one of a datadissemination system, a named data system, a data collection system, areal-time processing system, an artificial intelligence (“AI”) system, aserver computer, a cloud-based computing system over a network, or adistributed computing system, and/or the like. In some cases, therequesting device might comprise one of a network node, a serviceprovider device, a laptop computer, a desktop computer, a tabletcomputer, a television set, a smart television, a media player, a gamingconsole, a set-top box (“STB”), a digital video recording (“DVR”)device, a smart phone, a mobile phone, or a personal digital assistant,and/or the like.

According to some embodiments, the first equipment might be a physicaldevice, wherein the first equipment might comprise one of a computenode, an optical network device, a router, a server, an Internet ofThings (“IoT”) sensor, an IoT actuator, or a customer interaction datacollection system, and/or the like. Alternatively, the first equipmentmight be a virtual device, wherein the first equipment might compriseone of a virtual compute node, a virtual network device, a virtualrouter, a virtual server, or a virtual customer interaction datacollection system, and/or the like.

In some embodiments, the first configuration data might comprise secondconfiguration data comprising at least one of basic input/output system(“BIOS”) configuration data, storage configuration data, specialty cardconfiguration data, security configuration data, operating system (“OS”)configuration data, device driver configuration data, firmwareconfiguration data, programming language translation configuration data,system utility configuration data, network configuration data, routerconfiguration data, host configuration data, software configurationdata, power configuration data, extensible firmware interface (“EFI”)configuration data, or EFI system partition (“ESP”) configuration data,and/or the like.

According to some embodiments, the first configuration data mightfurther comprise third configuration data comprising at least one ofinformation regarding who created the second configuration data,information regarding who updated the second configuration data,information regarding who changed the second configuration data,information regarding who has accessed the second configuration data,information regarding requesting devices, information regarding when thesecond configuration data was created, information regarding when thesecond configuration data was updated, information regarding when thesecond configuration data was changed, information regarding when thesecond configuration data was accessed, or geospatial data of requestingdevices, and/or the like. In some cases, the first configuration datamight further comprise a unique identifier (“UID”) associated with oneof the first equipment or the first configuration data.

In some embodiments, the method might further comprise sending, with thefirst equipment, fourth configuration data to at least one of the datarepository or the blockchain system. In some instances, sending thefourth configuration data to the at least one of the data repository orthe blockchain system might comprise sending, with the first equipment,the fourth configuration data to the at least one of the data repositoryor the blockchain system either periodically or in response to at leastone of the fourth configuration data being created, the fourthconfiguration data being updated, the fourth configuration data beingchanged, the first equipment being configured with the fourthconfiguration data, configuration of the first equipment being modifiedusing the fourth configuration data, or configuration of the firstequipment being changed using the fourth configuration data, and/or thelike. Alternatively, sending the fourth configuration data to the atleast one of the data repository or the blockchain system might comprisesending, with the first equipment, the fourth configuration data to theat least one of the data repository or the blockchain system as beacondata.

In another aspect, a system might comprise a computing system, whichmight comprise at least one first processor and a first non-transitorycomputer readable medium communicatively coupled to the at least onefirst processor. The first non-transitory computer readable medium mighthave stored thereon computer software comprising a first set ofinstructions that, when executed by the at least one first processor,causes the computing system to: receive, from a requesting device, afirst request for first configuration data that is output by firstequipment, the first configuration data being used to configureoperation of the first equipment; determine whether a data repositorythat is communicatively coupled to the computing system contains thefirst configuration data that is responsive to the received firstrequest; based on a determination that the data repository contains thefirst configuration data that is responsive to the received firstrequest, retrieve the first configuration data that is responsive to thereceived first request, and send the retrieved first configuration datato the requesting device; based on a determination that the datarepository does not contain the first configuration data that isresponsive to the received first request, send, to a blockchain system,a second request for identifying a blockchain containing a blockcontaining the first configuration data responsive to the received firstrequest; and in response to the blockchain system identifying ablockchain containing a block containing the first configuration dataresponsive to the received first request, perform the following:receiving a copy of the identified blockchain from the blockchainsystem; abstracting, from the identified blockchain, the blockcontaining the first configuration data responsive to the received firstrequest; abstracting, from the identified block, the first configurationdata responsive to the received first request; and sending the firstconfiguration data to the requesting device.

In some embodiments, the computing system might comprise one of a datadissemination system, a named data system, a data collection system, areal-time processing system, an artificial intelligence (“AI”) system, aserver computer, a cloud-based computing system over a network, or adistributed computing system, and/or the like. In some cases, therequesting device might comprise one of a network node, a serviceprovider device, a laptop computer, a desktop computer, a tabletcomputer, a television set, a smart television, a media player, a gamingconsole, a set-top box (“STB”), a digital video recording (“DVR”)device, a smart phone, a mobile phone, or a personal digital assistant,and/or the like.

According to some embodiments, the first equipment might be a physicaldevice, wherein the first equipment might comprise one of a computenode, an optical network device, a router, a server, an Internet ofThings (“IoT”) sensor, an IoT actuator, or a customer interaction datacollection system, and/or the like. Alternatively, the first equipmentmight be a virtual device, wherein the first equipment might compriseone of a virtual compute node, a virtual network device, a virtualrouter, a virtual server, or a virtual customer interaction datacollection system, and/or the like.

In some embodiments, the first configuration data might comprise secondconfiguration data comprising at least one of basic input/output system(“BIOS”) configuration data, storage configuration data, specialty cardconfiguration data, security configuration data, operating system (“OS”)configuration data, device driver configuration data, firmwareconfiguration data, programming language translation configuration data,system utility configuration data, network configuration data, routerconfiguration data, host configuration data, software configurationdata, power configuration data, extensible firmware interface (“EFI”)configuration data, or EFI system partition (“ESP”) configuration data,and/or the like.

According to some embodiments, the first configuration data mightfurther comprise third configuration data comprising at least one ofinformation regarding who created the second configuration data,information regarding who updated the second configuration data,information regarding who changed the second configuration data,information regarding who has accessed the second configuration data,information regarding requesting devices, information regarding when thesecond configuration data was created, information regarding when thesecond configuration data was updated, information regarding when thesecond configuration data was changed, information regarding when thesecond configuration data was accessed, or geospatial data of requestingdevices, and/or the like. In some cases, the first configuration datamight further comprise a unique identifier (“UID”) associated with oneof the first equipment or the first configuration data.

In yet another aspect, a method might comprise sending, with a firstequipment, first configuration data to a blockchain system as beacondata either periodically or in response to at least one of the firstconfiguration data being created, the first configuration data beingupdated, the first configuration data being changed, the first equipmentbeing configured with the first configuration data, configuration of thefirst equipment being modified using the first configuration data, orconfiguration of the first equipment being changed using the firstconfiguration data; generating, with the blockchain system, a block of ablockchain by incorporating the first configuration data into the block;validating, with the blockchain system, the generated block; and storingthe blockchain containing the generated block in a data repository.

In some embodiments, the first configuration data might comprise secondconfiguration data comprising at least one of basic input/output system(“BIOS”) configuration data, storage configuration data, specialty cardconfiguration data, security configuration data, operating system (“OS”)configuration data, device driver configuration data, firmwareconfiguration data, programming language translation configuration data,system utility configuration data, network configuration data, routerconfiguration data, host configuration data, software configurationdata, power configuration data, extensible firmware interface (“EFI”)configuration data, or EFI system partition (“ESP”) configuration data,and/or the like.

Various modifications and additions can be made to the embodimentsdiscussed without departing from the scope of the invention. Forexample, while the embodiments described above refer to particularfeatures, the scope of this invention also includes embodiments havingdifferent combination of features and embodiments that do not includeall of the above described features.

Specific Exemplary Embodiments

We now turn to the embodiments as illustrated by the drawings. FIGS. 1-6illustrate some of the features of the method, system, and apparatus forimplementing equipment output data validation or equipment failureprediction, and, more particularly, to methods, systems, and apparatusesfor utilizing blockchains to implement data and source validation forequipment output data and/or for equipment failure predict, as referredto above. FIGS. 7 and 8 illustrate some of the features of the method,system, and apparatus for implementing tracking or storing of equipmentconfiguration data, and, more particularly, to methods, systems, andapparatuses for utilizing the immutable ledger functionality ofblockchains to track and/or store equipment configuration data, as alsoreferred to above. The methods, systems, and apparatuses illustrated byFIGS. 1-10 refer to examples of different embodiments that includevarious components and steps, which can be considered alternatives orwhich can be used in conjunction with one another in the variousembodiments. The description of the illustrated methods, systems, andapparatuses shown in FIGS. 1-10 is provided for purposes of illustrationand should not be considered to limit the scope of the differentembodiments.

With reference to the figures, FIG. 1 is a schematic diagramillustrating a system 100 for utilizing blockchains to implement dataand source validation for equipment output data and/or for equipmentfailure prediction, in accordance with various embodiments.

In the non-limiting embodiment of FIG. 1, system 100 might comprisecomputing system(s) 105 and corresponding database(s) 110. In someembodiments, the computing system(s) 105 might include, withoutlimitation, one of a data collection system, a real-time processingsystem, an artificial intelligence (“AI”) system, a data disseminationsystem, a named data system, a server computer, a cloud-based computingsystem over a network, or a distributed computing system, and/or thelike. System 100 might further comprise one or more client or requestingdevices 115 a-115 n (collectively, “client devices 115” or “requestingdevices 115” or the like), one or more networks 120, one or moreequipment 125 a-125 n (collectively, “equipment 125” or the like), oneor more caches 130, and a blockchain system 135. In some cases, the oneor more requesting devices 115 might each include, but is not limitedto, one of a network node, a service provider device, a laptop computer,a desktop computer, a tablet computer, a television set, a smarttelevision, a media player, a gaming console, a set-top box (“STB”), adigital video recording (“DVR”) device, a smart phone, a mobile phone,or a personal digital assistant, and/or the like. The network(s) 120might communicatively couple together the computing system(s) 105, therequesting device(s) 115, the equipment 125, the cache(s) 130, and theblockchain system 135.

In some embodiments, the blockchain system 135 might comprise ablockchain computing system 140, one or more networks 145, and peer datastorage systems #1 through #N 150 a-150 n (collectively, “peer datastorage systems 150,” “distributed peer data storage systems 150,” orthe like), the blockchain computing system 140 and the peer data storagesystems 150 being communicatively coupled to each other via network(s)145. Each instance of a blockchain containing a plurality of blocksmight be stored in two or more of the plurality of peer data storagesystems 150 a-150 n. A non-limiting example of a blockchain (which mightinclude hash values and such, not shown) can be seen in the embodimentof FIG. 2, which are described below. According to some embodiments,data of a block and hash value of a previous block in the blockchainmight be encrypted to produce a hash value, using a cryptographic hashfunction including, without limitation, one of secure hash algorithm-1(“SHA-1”) standard (e.g., a 160-bit hash function, or the like), SHA-2standard (e.g., SHA-256, SHA-512, SHA-224, SHA-384, SHA-512/224, SHA512/256, and/or the like), or SHA-3 standard (having same hash lengthsas SHA-2 but differing in internal structure compared with the rest ofthe SHA family of standards), and/or the like.

According to some embodiments, the network(s) 120 and/or 145 might eachinclude a local area network (“LAN”), including, without limitation, afiber network, an Ethernet network, a Token-Ring™ network, and/or thelike; a wide-area network (“WAN”); a wireless wide area network(“WWAN”); a virtual network, such as a virtual private network (“VPN”);the Internet; an intranet; an extranet; a public switched telephonenetwork (“PSTN”); an infra-red network; a wireless network, including,without limitation, a network operating under any of the IEEE 802.11suite of protocols, the Bluetooth™ protocol known in the art, and/or anyother wireless protocol (e.g., LTE protocol, 5G protocol, LoRa protocol,etc.); and/or any combination of these and/or other networks. In aparticular embodiment, the network(s) 120 and/or 145 might include anaccess network of the service provider (e.g., an Internet serviceprovider (“ISP”)). In another embodiment, the network(s) 120 and/or 145might include a core network of the service provider, and/or theInternet.

In operation, a user, using a requesting device (e.g., at least one ofrequesting devices 115 a-115 n, or the like), might send a first requestfor data that is output by first equipment (one of equipment 125 a-125n, which might include, without limitation, at least one of the one ormore optical equipment, the one or more routers, the one or moreservers, the one or more VMs, the one or more customer interactionsystems, or other internal network system, and/or at least one of theone or more partner systems, the one or more public systems, the one ormore public data systems, or other external network system, and/or thelike). The computing system 105 might receive the first request from therequesting device via an API or the like. The computing system 105 mightdetermine whether cache(s) 130 might contain data that is responsive tothe received first request (e.g., data that is output by firstequipment, or the like). In some embodiments, the computing system 105might also determine whether such data that is responsive to thereceived first request (i.e., data that is output by the firstequipment, etc.) can be trusted. Based on a determination that thecache(s) 130 contains data that is responsive to the received firstrequest and based on a determination that such data (which includes dataas output by first equipment) can be trusted, the computing system 105might retrieve the data that is responsive to the received firstrequest, and might send the retrieved data to the requesting device. Onthe other hand, based on a determination that the cache(s) 130 does notcontain data that is responsive to the received first request and/orbased on a determination that data that is stored in the cache(s) 130and that is responsive to the received first request cannot be trusted,the computing system 105 might send, to the blockchain system 135 orblockchain computing system 140, a second request for identifying ablockchain (e.g., blockchain 205 of FIG. 2, or the like) containing ablock containing data responsive to the received first request (i.e.,data that is output by the first equipment, or the like). In response tothe blockchain system 135 or blockchain computing system 140 identifyinga blockchain containing a block containing data responsive to thereceived first request, the computing system 105, the blockchain system135, or blockchain computing system 140 might receive a copy of theidentified blockchain from the blockchain system 135 or blockchaincomputing system 140. The computing system 105, the blockchain system135, or blockchain computing system 140 might abstract, from theidentified blockchain, the block containing the data responsive to thereceived first request; might abstract, from the block, the dataresponsive to the received first request (i.e., the copy of the datathat is output by the first equipment, in this case); and might send thedata (i.e., the data that is output by the first equipment) to therequesting device.

In some embodiments, the computing system 105 might each include,without limitation, one of a data collection system, a real-timeprocessing system, an artificial intelligence (“AI”) system, a servercomputer, a cloud-based computing system over a network, or adistributed computing system, and/or the like. In some cases, therequesting devices 115 might each include, but is not limited to, one ofa network node, a service provider device, a laptop computer, a desktopcomputer, a tablet computer, a television set, a smart television, amedia player, a gaming console, a set-top box (“STB”), a digital videorecording (“DVR”) device, a smart phone, a mobile phone, or a personaldigital assistant, and/or the like. According to some embodiments, thefirst equipment might be a physical device, where the first equipmentmight include, without limitation, one of an optical network device, arouter, a server, an Internet of Things (“IoT”) sensor, an IoT actuator,or a customer interaction data collection system, and/or the like.Alternatively, the first equipment might be a virtual device, where thefirst equipment might include, but is not limited to, one of a virtualnetwork device, a virtual router, a server, or a virtual customerinteraction data collection system, and/or the like.

In some aspects, the computing system 105, the blockchain system 135, orthe blockchain computing system 140 might analyze the first data byperforming at least one of data validation (as depicted, e.g., in FIG. 3by arrows extending from blockchain interfaces 370′ that are denoted“dv”) and/or source validation (as depicted, e.g., in FIG. 3 by arrowsextending from blockchain interfaces 370′ that are denoted “sv”) on thefirst data. In some cases, the first data might comprise sourceidentification information, where performing source validation on thefirst data might comprise validating the source identificationinformation contained in the first data. In some embodiments, thecomputing system 105 might perform at least one of data validationand/or source validation using a combination of two or more of areal-time processing system, an intelligence system, an intelligencealgorithms, and a support systems (which might include, withoutlimitation, business, operations, or development systems, etc.), and/orthe like. Data and/or source validation may, in some embodiments, alsobe performed at cache(s) 130. In some instances, analyzing the firstdata might comprise analyzing, with the computing system 105, the firstdata in real-time or near-real-time.

Merely by way of example, in some instances, the determination that thefirst data as output by the first equipment being deemed to be trusteddata might be based on a determination that the first data as output bythe first equipment is within a predetermined range of threshold valuesor parameters, where the determination that the first data is deemed torequire further data validation might be based on a determination thatthe first data exceeds the predetermined range of threshold values orparameters.

According to some embodiments, the computing system 105 might analyzethe first data to predict equipment failure of the first equipment,based on analysis of the first data, where the first data might include,without limitation, at least one of a status of the first equipment, achange in status of the first equipment, or one or more alerts output bythe first equipment, and/or the like. In some cases, the first datamight further include, but is not limited to, at least one of a sourceidentifier, a date and time stamp associated with each of at least oneof the status of the first equipment, the change in status of the firstequipment, or the one or more alerts output by the first equipment,and/or the like.

In some embodiments, the first data might include, without limitation,at least one of one or more portions of a log of interactions between auser and a service provider, data communicated by third party serviceprovider systems, data communicated by public service systems, or publicdata, and/or the like. In such cases, the interactions between the userand the service provider might include, but is not limited to, at leastone of online chats, text messages, telephone conversations, e-mailcommunications, software application usage, or service provider websiteinteraction by the user, and/or the like. In some instances, the publicdata might include, without limitation, at least one of weather data,stock data, news data, or street traffic data, and/or the like.

According to some embodiments, the first request might include, but isnot limited to, a request for information regarding a network device. Insome instances, metadata regarding the network device might be containedin the block of the identified blockchain, where the metadata mightinclude, without limitation, at least one of service information for thenetwork device, maintenance information for the network device, usagedata for the network device, geolocation information for the networkdevice, data control information for the network device, informationregarding critical events associated with the network device,information regarding open trouble tickets, or information regardingdata monetization for the network device, and/or the like. In somecases, the service information for the network device and themaintenance information for the network device might be abstracted fromservice records and stored, via the blockchain system 135 or blockchaincomputing system 140, in one or more first blocks of a first blockchain.In some instances, the usage data for the network device and thegeolocation information for the network device might be abstracted fromusage data records and stored, via the blockchain system 135 orblockchain computing system 140, in one or more second blocks of asecond blockchain. Alternatively, or additionally, the data controlinformation for the network device might be abstracted from applicationprogramming interface (“API”) calls and stored, via the blockchainsystem 135 or blockchain computing system 140, in one or more thirdblocks of a third blockchain. Alternatively, or additionally, theinformation regarding critical events associated with the network devicemight be abstracted from a simple network management protocol (“SNMP”)events system and stored, via the blockchain system 135 or blockchaincomputing system 140, in one or more fourth blocks of a fourthblockchain. Alternatively, or additionally, the information regardingopen trouble tickets might be abstracted from a trouble tickets systemand stored, via the blockchain system 135 or blockchain computing system140, in one or more fifth blocks of a fifth blockchain. Alternatively,or additionally, the information regarding data monetization for thenetwork device might be abstracted from a network server and stored, viathe blockchain system 135 or blockchain computing system 140, in one ormore sixth blocks of a sixth blockchain. In some embodiments, two ormore of the first blockchain, the second blockchain, third blockchain,fourth blockchain, fifth blockchain, or sixth blockchain might be thesame blockchain. In some cases, two or more of the one or more firstblocks, the one or more second blocks, the one or more third blocks, theone or more fourth blocks, the one or more fifth blocks, or the one ormore sixth blocks might be the same one or more blocks.

According to some embodiments, the first request might comprise a domainname system (“DNS”) request, where the data that is responsive to thereceived first request might comprise a DNS response comprising anInternet protocol (“IP”) address associated with a website. In suchcases, sending the second request to the blockchain system mightcomprise sending, with the computing system and to the blockchainsystem, the second request via a DNS decentralized application (“DApp”).In some embodiments, the first request might comprise a hypertexttransfer protocol (“HTTP”) record request, where the data that isresponsive to the received first request might comprise a JavaScriptobject notation (“JSON”) record response. In such cases, sending thesecond request to the blockchain system might comprise sending, with thecomputing system and to the blockchain system, the second request via arecord request DApp.

In some embodiments, the first request might include, but is not limitedto, one of service provider customer data, webpage information, orequipment service information, and/or the like. In some cases, sendingthe second request to the blockchain system might comprise sending, withthe computing system(s) 105 and to the blockchain system 130, the secondrequest via corresponding one of a service provider customer data DApp,a webpage information DApp, or an equipment service information DApp,and/or the like. In some instances, the service provider customer datamight include, without limitation, one of customer data associated withInternet service, customer data associated with transportation service,customer data associated with cellular communications service, customerdata associated with data services, or customer data associated withmedia content services, and/or the like.

Merely by way of example, in some cases, computing system(s) 105 mightgenerate a reputation score of a network device based on metadataregarding the network device that is stored in a block of the blockchainthat is generated by the blockchain system, wherein the first requestcomprises a request for the reputation score of the network device.Alternatively, or additionally, computing system(s) 105 might receivesecond data from a second block of a second blockchain; and mightdetermine whether the second data is (or is not) suitable for caching inthe cache. Based on a determination that the second data is suitable forcaching in the cache, computing system(s) 105 might store the seconddata in the cache; and might update the second block of the secondblockchain by recording a first flag indicating that the second data iscachable and has been stored in the cache. On the other hand, based on adetermination that the second data is not suitable for caching in thecache, computing system(s) 105 might update the second block of thesecond blockchain by recording a second flag indicating that the seconddata is not suitable for storing in the cache. In this manner, bychecking the flag (whether it is a first flag or a second flag, or thelike), the computing system(s) 105 might more easily determine whetheror not data is suitable for storing in the cache (i.e., whether suchdata are cachable or non-cachable, or the like).

In some embodiments, determining whether the cache that iscommunicatively coupled to the computing system(s) 105 contains datathat is responsive to the received first request might compriseaccessing, with the computing system(s) 105, the cache via a listeningport and one or more application programming interfaces (“APIs”).Alternatively, or additionally, determining whether the cache that iscommunicatively coupled to the computing system(s) 105 contains datathat is responsive to the received first request might comprisequerying, with the computing system(s) 105, a record of blockchaininformation to determine whether a flag associated with the data that isresponsive to the received first request indicates that the data iscachable and is stored in the cache. In some cases, the determinationthat the cache contains data that is responsive to the received firstrequest might be based on a determination that the flag associated withthe data that is responsive to the received first request indicates thatthe data is cachable and is stored in the cache, while the determinationthat the cache does not contain data that is responsive to the receivedfirst request might be based on a determination that the flag associatedwith the data that is responsive to the received first request indicateseither that the data is non-cachable or that the data is not stored inthe cache.

According to some embodiments, rather than retrieving the data that isresponsive to the received first request based on a determination thatthe cache contains data that is responsive to the received firstrequest, the computing system(s) 105 might first perform verification orauthentication tests, including, but not limited to, tests based on timeto live (“TTL”) analysis to determine timestamps indicating when suchdata was stored in the cache and to determine what such data's TTL mightbe (e.g., 1 hour, 1 day, 1 week, 1 month, etc.). Based on adetermination that such data was stored for a period exceeding its TTL,then such data may be considered to be untrustworthy, and the computingsystem(s) 105 might determine that the cache does not contain data thatis responsive to the received first request (and thus might send thesecond request to the blockchain system, as described in detail above).On the other hand, based on a determination that such data was storedfor a period within its TTL, then the computing system(s) 105 mightconsider such data to be trustworthy, and might proceed to retrieve thedata from the cache and might send the retrieved data to the requestingdevice.

These and other functionalities of the various embodiments are describedin detail below with respect to FIGS. 2-6.

FIG. 2 is a schematic diagram illustrating an example 200 of ablockchain that may be used by a system that utilizes blockchains toimplement data and source validation for equipment output data and/orfor equipment failure prediction, in accordance with variousembodiments.

With reference to FIG. 2, an example 200 of a blockchain 205 isdepicted. Blockchain 205 might comprise a plurality of blocks 210 a-210e (collectively, “blocks 210” or the like), each block 210 containingone or more source fields #1-#4 215 and/or one or more data fields #1-#4220. The source fields 215 might each contain information regarding asource corresponding data (e.g., source field #1 might correspond todata field #1, and so on). For purposes of simplicity of illustration,only five blocks 210 are shown in the blockchain 205 in FIG. 2, althoughblockchain 205 might comprise any suitable number of blocks 210.Although only four source fields 215 are shown in each block 210, thevarious embodiments are not so limited, and blockchains 205 mightcontain any suitable number of source fields 215. Similarly, althoughonly four data fields 220 are shown in each block 210, the variousembodiments are not so limited, and blockchains 205 might contain anysuitable number of data fields 220. Although not shown, each block 210might also contain other data or fields, including, but not limited to,block number fields, nonce field, data and/or time stamp fields,previous hash field, hash field, and/or the like. As described hereinwith respect to FIGS. 1 and 3-6, source validation may be performed onthe data contained in the source fields 215, while data validation maybe performed on the data contained in the data fields 220.

FIG. 3 is a schematic diagram illustrating another system 300 forutilizing blockchains to implement data and source validation forequipment output data and/or for equipment failure prediction, inaccordance with various embodiments.

In the non-limiting embodiment of FIG. 3, system 300 might comprise adata collection system 305 and a data lake 310. System 300 might furthercomprise at least one of one or more optical equipment 315, one or morerouters 320, one or more servers 325, one or more virtual machines(“VMs”) 330, or one or more customer interaction systems 335, and/or thelike (collectively, “internal network systems 340” or the like), each ofwhich might be part of, or internal to, the network systems of a serviceprovider. System 300 might further comprise at least one of one or morepartner systems 345, one or more public systems 350, or one or morepublic data systems 355 (e.g., systems providing or collecting dataregarding weather, stocks, news, street traffic, etc.), and/or the like(collectively, “external network systems 360” or the like), each ofwhich might be external to the network systems of the service provider.System 300 might further comprise blockchain system 365, a plurality ofblockchain interfaces 370 or 370′, and/or the like. System 300 mightfurther comprise computing system 375, which might include, withoutlimitation, at least one of real-time processing system 380,intelligence system 385, one or more intelligence algorithms 390, or oneor more support systems 395, and/or the like.

In conventional systems, information or data from devices or fromlogging or record systems might be received by data disseminationsystems or data collection systems. Such information or data, however,may be susceptible to interception by nefarious parties and/or spoofingby such parties, thus resulting in information or data that isunreliable or untrustworthy. The various embodiments described herein(such as system 300 of FIG. 3, or the like) utilize the functionalities,advantages, and features of blockchain systems to make such informationor data more secure and more transparently reliable due to the inherentvalidation capabilities of blockchain ledgers or the like, and theinherent capabilities of blockchain systems to clearly prevent covertreplacement or modification of information contained in the blocks ofthe blockchain.

In particular, with reference to the non-limiting embodiment of FIG. 3,the blockchain system 365 or the blockchain interfaces 370 or 370′ mightencode or store, in one or more blocks of blockchains, data that iscollected, sent, or stored by each of at least one of the datacollection system 305, the data lake 310, the one or more opticalequipment 315, the one or more routers 320, the one or more servers 325,the one or more VMs 330, the one or more customer interaction systems335, the one or more partner systems 345, the one or more public systems350, the one or more public data systems 355, the real-time processingsystem 380, the intelligence system 385, the one or more intelligencealgorithms 390, or the one or more support systems 395, or the like.

In operation, a user, using a requesting device (e.g., requestingdevice(s) 115 a-115 n of FIG. 1, or the like), might send a firstrequest for data that is output by first equipment (e.g., at least oneof the one or more optical equipment 315, the one or more routers 320,the one or more servers 325, the one or more VMs 330, the one or morecustomer interaction systems 335, or other internal network system 340,and/or at least one of the one or more partner systems 345, the one ormore public systems 350, the one or more public data systems 355, orother external network system 360, and/or the like). The data collectionsystem 305 or computing system 375 might receive the first request fromthe first requesting device via an API or the like. The data collectionsystem 305 or computing system 375 might determine whether data lake 310might contain data that is responsive to the received first request(e.g., data that is output by first equipment, or the like). In someembodiments, the data collection system 305 or computing system 375might also determine whether such data that is responsive to thereceived first request (i.e., data that is output by the firstequipment, etc.) can be trusted. Based on a determination that the datalake 310 contains data that is responsive to the received first requestand based on a determination that such data (which includes data asoutput by first equipment) can be trusted, the data collection system305 or computing system 375 might retrieve the data that is responsiveto the received first request, and might send the retrieved data to therequesting device. On the other hand, based on a determination that thedata lake 310 does not contain data that is responsive to the receivedfirst request and/or based on a determination that data that is storedin the data lake 310 and that is responsive to the received firstrequest cannot be trusted, the data collection system 305 or computingsystem 375 might send, to the blockchain system 365, a second requestfor identifying a blockchain (e.g., blockchain 205 of FIG. 2, or thelike) containing a block containing data responsive to the receivedfirst request (i.e., data that is output by the first equipment, or thelike). In response to the blockchain system 365 identifying a blockchaincontaining a block containing data responsive to the received firstrequest, the data collection system 305 or the blockchain system 365might receive a copy of the identified blockchain from the blockchainsystem 365. The data collection system 305 or the blockchain system 365might abstract, from the identified blockchain, the block containing thedata responsive to the received first request; might abstract, from theblock, the data responsive to the received first request (i.e., the copyof the data that is output by the first equipment, in this case); andmight send the data (i.e., the data that is output by the firstequipment) to the requesting device.

In some embodiments, the data collection system 305 might each include,without limitation, one of a data collection system, a real-timeprocessing system, an artificial intelligence (“AI”) system, a servercomputer, a cloud-based computing system over a network, or adistributed computing system, and/or the like. In some cases, therequesting devices might each include, but is not limited to, one of anetwork node, a service provider device, a laptop computer, a desktopcomputer, a tablet computer, a television set, a smart television, amedia player, a gaming console, a set-top box (“STB”), a digital videorecording (“DVR”) device, a smart phone, a mobile phone, or a personaldigital assistant, and/or the like. According to some embodiments, thefirst equipment might be a physical device, where the first equipmentmight include, without limitation, one of an optical network device, arouter, a server, an Internet of Things (“IoT”) sensor, an IoT actuator,or a customer interaction data collection system, and/or the like.Alternatively, the first equipment might be a virtual device, where thefirst equipment might include, but is not limited to, one of a virtualnetwork device, a virtual router, a server, or a virtual customerinteraction data collection system, and/or the like.

In some aspects, the data collection system 305, the computing system375, or the blockchain system 365 might analyze the first data byperforming at least one of data validation (depicted in FIG. 3 by arrowsextending from blockchain interfaces 370′ that are denoted “dv”) and/orsource validation (depicted in FIG. 3 by arrows extending fromblockchain interfaces 370′ that are denoted “sv”) on the first data. Insome cases, the first data might comprise source identificationinformation, where performing source validation on the first data mightcomprise validating the source identification information contained inthe first data. In some embodiments, the computing system 375 mightperform at least one of data validation and/or source validation using acombination of two or more of the real-time processing system 380, theintelligence system 385, the intelligence algorithms 390, and thesupport systems 395 (which might include, without limitation, business,operations, or development systems, etc.), and/or the like. Data and/orsource validation may, in some embodiments, also be performed at datalake 310. In some instances, analyzing the first data might compriseanalyzing, with the computing system 375, the first data in real-time ornear-real-time.

Merely by way of example, in some instances, the determination that thefirst data as output by the first equipment being deemed to be trusteddata might be based on a determination that the first data as output bythe first equipment is within a predetermined range of threshold valuesor parameters, where the determination that the first data is deemed torequire further data validation might be based on a determination thatthe first data exceeds the predetermined range of threshold values orparameters.

According to some embodiments, the data collection system 305 mightanalyze the first data to predict equipment failure of the firstequipment, based on analysis of the first data, where the first datamight include, without limitation, at least one of a status of the firstequipment, a change in status of the first equipment, or one or morealerts output by the first equipment, and/or the like. In some cases,the first data might further include, but is not limited to, at leastone of a source identifier, a date and time stamp associated with eachof at least one of the status of the first equipment, the change instatus of the first equipment, or the one or more alerts output by thefirst equipment, and/or the like.

In some embodiments, the first data might include, without limitation,at least one of one or more portions of a log of interactions between auser and a service provider, data communicated by third party serviceprovider systems, data communicated by public service systems, or publicdata, and/or the like. In such cases, the interactions between the userand the service provider might include, but is not limited to, at leastone of online chats, text messages, telephone conversations, e-mailcommunications, software application usage, or service provider websiteinteraction by the user, and/or the like. In some instances, the publicdata might include, without limitation, at least one of weather data,stock data, news data, or street traffic data, and/or the like.

According to some embodiments, the first request might include, but isnot limited to, a request for information regarding a network device. Insome instances, metadata regarding the network device might be containedin the block of the identified blockchain, where the metadata mightinclude, without limitation, at least one of service information for thenetwork device, maintenance information for the network device, usagedata for the network device, geolocation information for the networkdevice, data control information for the network device, informationregarding critical events associated with the network device,information regarding open trouble tickets, or information regardingdata monetization for the network device, and/or the like. In somecases, the service information for the network device and themaintenance information for the network device might be abstracted fromservice records and stored, via the blockchain system 365, in one ormore first blocks of a first blockchain. In some instances, the usagedata for the network device and the geolocation information for thenetwork device might be abstracted from usage data records and stored,via the blockchain system 365, in one or more second blocks of a secondblockchain. Alternatively, or additionally, the data control informationfor the network device might be abstracted from application programminginterface (“API”) calls and stored, via the blockchain system 365, inone or more third blocks of a third blockchain. Alternatively, oradditionally, the information regarding critical events associated withthe network device might be abstracted from a simple network managementprotocol (“SNMP”) events system and stored, via the blockchain system365, in one or more fourth blocks of a fourth blockchain. Alternatively,or additionally, the information regarding open trouble tickets might beabstracted from a trouble tickets system and stored, via the blockchainsystem 365, in one or more fifth blocks of a fifth blockchain.Alternatively, or additionally, the information regarding datamonetization for the network device might be abstracted from a networkserver and stored, via the blockchain system 365, in one or more sixthblocks of a sixth blockchain. In some embodiments, two or more of thefirst blockchain, the second blockchain, third blockchain, fourthblockchain, fifth blockchain, or sixth blockchain might be the sameblockchain. In some cases, two or more of the one or more first blocks,the one or more second blocks, the one or more third blocks, the one ormore fourth blocks, the one or more fifth blocks, or the one or moresixth blocks might be the same one or more blocks.

FIGS. 4A and 4B (collectively, “FIG. 4”) are schematic diagramsillustrating various embodiments 400 and 400′ for yet another system forutilizing blockchains to implement data and source validation forequipment output data and/or for equipment failure prediction, inaccordance with various embodiments.

In the non-limiting embodiment of FIG. 4, system 400 or 400′ mightcomprise one or more requesting devices 405 a-405 n (collectively,“requesting devices 405” or the like) and one or more data disseminationsystems (“DDSs”) #1-#N 410 a-410 n (collectively, “DDSs 410” or thelike). According to some embodiments, each DDS 410 might comprise acache 415, a message bus 420, and a plurality of listening ports 425(e.g., listening ports 80/443, listening ports 53, and/or the like). Forexample, the first DDS (e.g., DDS #1) 410 a might comprise a first cache415 a, a first message bus 420 a, and a plurality of first listeningports 425 a, and so on. System 400 or 400′ might further comprise aplurality of application programming interfaces (“APIs”) 430communicatively coupling the one or more requesting devices 405 and theDDSs 410, relaying requests from the requesting devices 405 to the DDSs410 while relaying responses back from the DDSs 410 to the requestingdevices 405.

In operation, a user, using a first requesting device 405 a, might senda first request for data that is output by first equipment. A first DDS410 a might receive the first request from the first requesting device405 a via an API 430. The first DDS 410 a might determine whether alocal cache 415 a might contain data that is responsive to the receivedfirst request, by routing the first request through one or more firstlistening ports 425 a via first message bus 420 a. In some embodiments,the first DDS 410 a might also determine whether such data that isresponsive to the received first request (i.e., data that is output bythe first equipment, etc.) can be trusted. Based on a determination thatthe local cache 415 a contains data that is responsive to the receivedfirst request and based on a determination that such data (whichincludes data as output by first equipment) can be trusted, the firstDDS 410 a might retrieve the data that is responsive to the receivedfirst request, and might send the retrieved data to the first requestingdevice 405 a via the first message bus 420 a, the one or more firstlistening ports, and the API 430. On the other hand, based on adetermination that the local cache 415 a does not contain data that isresponsive to the received first request and/or based on a determinationthat data that is stored in the local cache 415 a and that is responsiveto the received first request cannot be trusted, the first DDS 410 amight send, to a blockchain system 440 or 440′ via one or moredecentralized applications (“DApps”) 435 among a plurality of DApps(which might include, but is not limited to, a domain name system(“DNS”) DApp 435 a, a transportation data DApp 435 b (e.g., airline dataDApp, bus data DApp, train data DApp, etc.), a webpage information DApp435 c, an equipment service information DApp 435 d, a record requestDApp 435 e, a service provider customer data DApp 435 f, and/or thelike), a second request for identifying a blockchain (one or more ofblockchains 445 of network(s) 450) containing a block containing dataresponsive to the received first request. In response to the blockchainsystem 440 or 440′ identifying a blockchain 445 containing a blockcontaining data responsive to the received first request, the first DDS410 a or the blockchain system 440 or 440′ might receive a copy of theidentified blockchain from the blockchain system 440 or 440′. The firstDDS 410 a or the blockchain system 440 or 440′ might abstract, from theidentified blockchain 445, the block containing the data responsive tothe received first request; might abstract, from the block, the dataresponsive to the received first request (i.e., the copy of the firstdata that is output by the first equipment, in this case); and mightsend the data (i.e., the first data) to the first requesting device 405a via the one or more DApps 435, the first message bus 420 a (and insome cases, via the first cache 415 a, or the like), the one or morefirst listening ports 425 a, and the API 430.

In some embodiments, the DDS 410 a-410 n might each include, withoutlimitation, one of a data collection system, a real-time processingsystem, an artificial intelligence (“AI”) system, a server computer, acloud-based computing system over a network, or a distributed computingsystem, and/or the like. In some cases, the requesting devices 405 a-405n might each include, but is not limited to, one of a network node, aservice provider device, a laptop computer, a desktop computer, a tabletcomputer, a television set, a smart television, a media player, a gamingconsole, a set-top box (“STB”), a digital video recording (“DVR”)device, a smart phone, a mobile phone, or a personal digital assistant,and/or the like. According to some embodiments, the first equipmentmight be a physical device, where the first equipment might include,without limitation, one of an optical network device, a router, aserver, an Internet of Things (“IoT”) sensor, an IoT actuator, or acustomer interaction data collection system, and/or the like.Alternatively, the first equipment might be a virtual device, where thefirst equipment might include, but is not limited to, one of a virtualnetwork device, a virtual router, a server, or a virtual customerinteraction data collection system, and/or the like.

In some aspects, the DDS 410 or the blockchain system 440 might analyzethe first data by performing at least one of data validation and/orsource validation on the first data. In some cases, the first data mightcomprise source identification information, where performing sourcevalidation on the first data might comprise validating the sourceidentification information contained in the first data. In someinstances, analyzing the first data might comprise analyzing, with theDDS 410 or the blockchain system 440, the first data in real-time ornear-real-time.

Merely by way of example, in some instances, the determination that thefirst data as output by the first equipment being deemed to be trusteddata might be based on a determination that the first data as output bythe first equipment is within a predetermined range of threshold valuesor parameters, where the determination that the first data is deemed torequire further data validation might be based on a determination thatthe first data exceeds the predetermined range of threshold values orparameters.

According to some embodiments, at least one of the DDS 410 a-410 n mightanalyze the first data to predict equipment failure of the firstequipment, based on analysis of the first data, where the first datamight include, without limitation, at least one of a status of the firstequipment, a change in status of the first equipment, or one or morealerts output by the first equipment, and/or the like. In some cases,the first data might further include, but is not limited to, at leastone of a source identifier, a date and time stamp associated with eachof at least one of the status of the first equipment, the change instatus of the first equipment, or the one or more alerts output by thefirst equipment, and/or the like.

In some embodiments, the first data might include, without limitation,at least one of one or more portions of a log of interactions between auser and a service provider, data communicated by third party serviceprovider systems, data communicated by public service systems, or publicdata, and/or the like. In such cases, the interactions between the userand the service provider might include, but is not limited to, at leastone of online chats, text messages, telephone conversations, e-mailcommunications, software application usage, or service provider websiteinteraction by the user, and/or the like. In some instances, the publicdata might include, without limitation, at least one of weather data,stock data, news data, or street traffic data, and/or the like.

According to some embodiments, the first request might comprise a DNSrequest, where the data that is responsive to the received first requestmight comprise a DNS response comprising an Internet protocol (“IP”)address associated with a website. In such cases, sending the secondrequest to the blockchain system 440 or 440′ might comprise sending,with the first DDS 410 a and to the blockchain system 440 or 440′, thesecond request via a DNS DApp (e.g., DNS DApp 435 a, or the like). Insome embodiments, the first request might comprise a hypertext transferprotocol (“HTTP”) record request, where the data that is responsive tothe received first request might comprise a JavaScript object notation(“JSON”) record response. In such cases, sending the second request tothe blockchain system 440 or 440′ might comprise sending, with the firstDDS 410 a and to the blockchain system 440 or 440′, the second requestvia a record request DApp (e.g., record request DApp 435 e, or thelike).

In some embodiments, the first request might include, but is not limitedto, one of service provider customer data, webpage information, orequipment service information, and/or the like. In some cases, sendingthe second request to the blockchain system 440 or 440′ might comprisesending, with the first DDS 410 a and to the blockchain system 440 or440′, the second request via corresponding one of a service providercustomer data DApp (e.g., service provider customer data DApp 435 f, orthe like), a webpage information DApp (e.g., webpage information DApp435 c, or the like), or an equipment service information DApp (e.g.,equipment service information DApp 435 d, or the like), and/or the like.In some instances, the service provider customer data might include,without limitation, one of customer data associated with Internetservice, customer data associated with transportation service, customerdata associated with cellular communications service, customer dataassociated with data services, or customer data associated with mediacontent services, and/or the like.

According to some embodiments, the first request might include, but isnot limited to, a request for information regarding a network device. Insome instances, metadata regarding the network device might be containedin the block of the identified blockchain, where the metadata mightinclude, without limitation, at least one of service information for thenetwork device, maintenance information for the network device, usagedata for the network device, geolocation information for the networkdevice, data control information for the network device, informationregarding critical events associated with the network device,information regarding open trouble tickets, or information regardingdata monetization for the network device, and/or the like. In somecases, the service information for the network device and themaintenance information for the network device might be abstracted fromservice records and stored, via the blockchain system 440 or 440′, inone or more first blocks of a first blockchain. In some instances, theusage data for the network device and the geolocation information forthe network device might be abstracted from usage data records andstored, via the blockchain system 440 or 440′, in one or more secondblocks of a second blockchain. Alternatively, or additionally, the datacontrol information for the network device might be abstracted fromapplication programming interface (“API”) calls and stored, via theblockchain system 440 or 440′, in one or more third blocks of a thirdblockchain. Alternatively, or additionally, the information regardingcritical events associated with the network device might be abstractedfrom a simple network management protocol (“SNMP”) events system andstored, via the blockchain system 440 or 440′, in one or more fourthblocks of a fourth blockchain. Alternatively, or additionally, theinformation regarding open trouble tickets might be abstracted from atrouble tickets system and stored, via the blockchain system 440 or440′, in one or more fifth blocks of a fifth blockchain. Alternatively,or additionally, the information regarding data monetization for thenetwork device might be abstracted from a network server and stored, viathe blockchain system 440 or 440′, in one or more sixth blocks of asixth blockchain. In some embodiments, two or more of the firstblockchain, the second blockchain, third blockchain, fourth blockchain,fifth blockchain, or sixth blockchain might be the same blockchain. Insome cases, two or more of the one or more first blocks, the one or moresecond blocks, the one or more third blocks, the one or more fourthblocks, the one or more fifth blocks, or the one or more sixth blocksmight be the same one or more blocks.

Referring to FIG. 4, in the non-limiting embodiment 400 of FIG. 4A,blockchain system 440 might comprise the blockchains 445 and thenetwork(s) 450, while, in the non-limiting embodiment 400′ of FIG. 4B,blockchain system 440′ might comprise the blockchains 445, thenetwork(s) 450, and the plurality of DApps 435.

FIG. 5 is a schematic diagram illustrating an embodiment 500 for stillanother system for utilizing blockchains to implement data and sourcevalidation for equipment output data and/or for equipment failureprediction, in accordance with various embodiments.

In the non-limiting embodiment of FIG. 5, system 500 might comprise ablockchain system 505, which might comprise a plurality of blockchains510 in network(s) 515. System 500 might comprise at least one datadissemination system (“DDS”) 520, a cache layer 525, a client portdomain name system (“DNS”) 530, and a requesting device(s) 535.

In operation, a user, using requesting device(s) 535, might send a firstrequest for data (e.g., client call(s) 540, or the like) that is outputby first equipment. In some cases, the DDS 520 might receive the firstrequest (e.g., client call(s) 540, or the like) from the requestingdevice(s) 535 via an API or the like (e.g., API 430 of FIG. 4, or thelike). The DDS 520 might determine whether cache layer 525 might containdata that is responsive to the received first request (e.g., clientcall(s) 540, or the like). In some embodiments, the DDS 520 might alsodetermine whether such data that is responsive to the received firstrequest (i.e., data that is output by the first equipment, etc.) can betrusted. Based on a determination that cache layer 525 contains datathat is responsive to the received first request (e.g., client call(s)540, or the like) and based on a determination that such data (whichincludes data as output by first equipment) can be trusted, the DDS 520might retrieve, from cache layer 525, the data that is responsive to thereceived first request (e.g., client call(s) 540, or the like), andmight send the retrieved data to the requesting device(s) 535. On theother hand, based on a determination that cache layer 525 does notcontain data that is responsive to the received first request (e.g.,client call(s) 540, or the like) and/or based on a determination thatdata that is stored in the local cache 415 a and that is responsive tothe received first request cannot be trusted, the DDS 520 might send, toa blockchain system 505 (in some cases, via one or more decentralizedapplications (“DApps”), or the like), a second request for identifying ablockchain (one or more of blockchains 510 of network(s) 515) containinga block containing data responsive to the received first request (e.g.,client call(s) 540, or the like). In response to the blockchain system505 identifying a blockchain 510 containing a block containing dataresponsive to the received first request (e.g., client call(s) 540, orthe like), the DDS 520 or the blockchain system 505 might receive a copyof the identified blockchain from the blockchain system 505. The DDS 520or the blockchain system 505 might abstract, from the identifiedblockchain 510, the block containing the data responsive to the receivedfirst request (e.g., client call(s) 540, or the like) (i.e., the copy ofthe first data that is output by the first equipment, in this case);might abstract, from the block, the data responsive to the receivedfirst request (e.g., client call(s) 540, or the like) (i.e., the copy ofthe first data that is output by the first equipment, in this case); andmight send the data (i.e., the first data) to the requesting device(s)535.

In some embodiments, the DDS 520 might each include, without limitation,one of a data collection system, a real-time processing system, anartificial intelligence (“AI”) system, a server computer, a cloud-basedcomputing system over a network, or a distributed computing system,and/or the like. In some cases, the requesting devices 535 might eachinclude, but is not limited to, one of a network node, a serviceprovider device, a laptop computer, a desktop computer, a tabletcomputer, a television set, a smart television, a media player, a gamingconsole, a set-top box (“STB”), a digital video recording (“DVR”)device, a smart phone, a mobile phone, or a personal digital assistant,and/or the like. According to some embodiments, the first equipmentmight be a physical device, where the first equipment might include,without limitation, one of an optical network device, a router, aserver, an Internet of Things (“IoT”) sensor, an IoT actuator, or acustomer interaction data collection system, and/or the like.Alternatively, the first equipment might be a virtual device, where thefirst equipment might include, but is not limited to, one of a virtualnetwork device, a virtual router, a server, or a virtual customerinteraction data collection system, and/or the like.

In some aspects, the DDS 520 or the blockchain system 505 might analyzethe first data by performing at least one of data validation and/orsource validation on the first data. In some cases, the first data mightcomprise source identification information, where performing sourcevalidation on the first data might comprise validating the sourceidentification information contained in the first data. In someinstances, analyzing the first data might comprise analyzing, with theDDS 520 or the blockchain system 505, the first data in real-time ornear-real-time.

Merely by way of example, in some instances, the determination that thefirst data as output by the first equipment being deemed to be trusteddata might be based on a determination that the first data as output bythe first equipment is within a predetermined range of threshold valuesor parameters, where the determination that the first data is deemed torequire further data validation might be based on a determination thatthe first data exceeds the predetermined range of threshold values orparameters.

According to some embodiments, at least one of the DDS 520 might analyzethe first data to predict equipment failure of the first equipment,based on analysis of the first data, where the first data might include,without limitation, at least one of a status of the first equipment, achange in status of the first equipment, or one or more alerts output bythe first equipment, and/or the like. In some cases, the first datamight further include, but is not limited to, at least one of a sourceidentifier, a date and time stamp associated with each of at least oneof the status of the first equipment, the change in status of the firstequipment, or the one or more alerts output by the first equipment,and/or the like.

In some embodiments, the first data might include, without limitation,at least one of one or more portions of a log of interactions between auser and a service provider, data communicated by third party serviceprovider systems, data communicated by public service systems, or publicdata, and/or the like. In such cases, the interactions between the userand the service provider might include, but is not limited to, at leastone of online chats, text messages, telephone conversations, e-mailcommunications, software application usage, or service provider websiteinteraction by the user, and/or the like. In some instances, the publicdata might include, without limitation, at least one of weather data,stock data, news data, or street traffic data, and/or the like.

According to some embodiments, the first request (e.g., client call(s)540, or the like) might comprise a DNS request, where the data that isresponsive to the received first request (e.g., client call(s) 540, orthe like) might comprise a DNS response comprising an Internet protocol(“IP”) address associated with a website. In such cases, sending thesecond request to the blockchain system 505 might comprise sending, withthe DDS 520 and to the blockchain system 505, the second request via aDNS DApp (e.g., DNS DApp 435 a of FIG. 4, or the like). In someembodiments, the first request (e.g., client call(s) 540, or the like)might comprise a hypertext transfer protocol (“HTTP”) record request,where the data that is responsive to the received first request (e.g.,client call(s) 540, or the like) might comprise a JavaScript objectnotation (“JSON”) record response. In such cases, sending the secondrequest to the blockchain system 505 might comprise sending, with theDDS 520 and to the blockchain system 505, the second request via arecord request DApp (e.g., record request DApp 435 e of FIG. 4, or thelike).

In some embodiments, the first request (e.g., client call(s) 540, or thelike) might include, but is not limited to, one of service providercustomer data, webpage information, or equipment service information,and/or the like. In some cases, sending the second request to theblockchain system 505 might comprise sending, with the DDS 520 and tothe blockchain system 505, the second request via corresponding one of aservice provider customer data DApp (e.g., service provider customerdata DApp 435 f of FIG. 4, or the like), a webpage information DApp(e.g., webpage information DApp 435 c of FIG. 4, or the like), or anequipment service information DApp (e.g., equipment service informationDApp 435 d of FIG. 4, or the like), and/or the like. In some instances,the service provider customer data might include, without limitation,one of customer data associated with Internet service, customer dataassociated with transportation service, customer data associated withcellular communications service, customer data associated with dataservices, or customer data associated with media content services,and/or the like.

According to some embodiments, the first request (e.g., client call(s)540, or the like) might include, but is not limited to, a request forinformation regarding a network device. In some instances, metadataregarding the network device might be contained in the block of theidentified blockchain, where the metadata might include, withoutlimitation, at least one of service information for the network device,maintenance information for the network device, usage data for thenetwork device, geolocation information for the network device, datacontrol information for the network device, information regardingcritical events associated with the network device, informationregarding open trouble tickets, or information regarding datamonetization for the network device, and/or the like. In some cases, theservice information for the network device and the maintenanceinformation for the network device might be abstracted from servicerecords and stored, via the blockchain system 505, in one or more firstblocks of a first blockchain. In some instances, the usage data for thenetwork device and the geolocation information for the network devicemight be abstracted from usage data records and stored, via theblockchain system 505, in one or more second blocks of a secondblockchain. Alternatively, or additionally, the data control informationfor the network device might be abstracted from application programminginterface (“API”) calls and stored, via the blockchain system 505, inone or more third blocks of a third blockchain. Alternatively, oradditionally, the information regarding critical events associated withthe network device might be abstracted from a simple network managementprotocol (“SNMP”) events system and stored, via the blockchain system505, in one or more fourth blocks of a fourth blockchain. Alternatively,or additionally, the information regarding open trouble tickets might beabstracted from a trouble tickets system and stored, via the blockchainsystem 505, in one or more fifth blocks of a fifth blockchain.Alternatively, or additionally, the information regarding datamonetization for the network device might be abstracted from a networkserver and stored, via the blockchain system 505, in one or more sixthblocks of a sixth blockchain. In some embodiments, two or more of thefirst blockchain, the second blockchain, third blockchain, fourthblockchain, fifth blockchain, or sixth blockchain might be the sameblockchain. In some cases, two or more of the one or more first blocks,the one or more second blocks, the one or more third blocks, the one ormore fourth blocks, the one or more fifth blocks, or the one or moresixth blocks might be the same one or more blocks.

FIGS. 6A and 6B (collectively, “FIG. 6”) are flow diagrams illustratinga method 600 for utilizing blockchains to implement named datanetworking, in accordance with various embodiments. Method 600 of FIG.6A continues onto FIG. 6B following the circular marker denoted, “A.”

While the techniques and procedures are depicted and/or described in acertain order for purposes of illustration, it should be appreciatedthat certain procedures may be reordered and/or omitted within the scopeof various embodiments. Moreover, while the method 600 illustrated byFIG. 6 can be implemented by or with (and, in some cases, are describedbelow with respect to) the systems, examples, or embodiments 100, 200,300, 400, 400′, and 500 of FIGS. 1, 2, 3, 4A, 4B, and 5, respectively(or components thereof), such methods may also be implemented using anysuitable hardware (or software) implementation. Similarly, while each ofthe systems, examples, or embodiments 100, 200, 300, 400, 400′, and 500of FIGS. 1, 2, 3, 4A, 4B, and 5, respectively (or components thereof),can operate according to the method 600 illustrated by FIG. 6 (e.g., byexecuting instructions embodied on a computer readable medium), thesystems, examples, or embodiments 100, 200, 300, 400, 400′, and 500 ofFIGS. 1, 2, 3, 4A, 4B, and 5 can each also operate according to othermodes of operation and/or perform other suitable procedures.

In the non-limiting embodiment of FIG. 6A, method 600, at block 605,might comprise receiving, with a computing system and from a requestingdevice, a first request for first data that is output by firstequipment. In some embodiments, the computing system might include,without limitation, one of a data collection system, a real-timeprocessing system, an artificial intelligence (“AI”) system, a datadissemination system, a named data system, a server computer, acloud-based computing system over a network, or a distributed computingsystem, and/or the like. In some cases, the requesting device mightinclude, but is not limited to, one of a network node, a serviceprovider device, a laptop computer, a desktop computer, a tabletcomputer, a television set, a smart television, a media player, a gamingconsole, a set-top box (“STB”), a digital video recording (“DVR”)device, a smart phone, a mobile phone, or a personal digital assistant,and/or the like. According to some embodiments, the first equipmentmight be a physical device, where the first equipment might include,without limitation, one of an optical network device, a router, aserver, an Internet of Things (“IoT”) sensor, an IoT actuator, or acustomer interaction data collection system, and/or the like.Alternatively, the first equipment might be a virtual device, where thefirst equipment might include, but is not limited to, one of a virtualnetwork device, a virtual router, a server, or a virtual customerinteraction data collection system, and/or the like.

At block 610, method 600 might comprise, in response to receiving thefirst request for the first data, retrieving, with the computing system,the first data that is output by the first equipment. Method 600 mightfurther comprise analyzing, with the computing system, the first data todetermine whether the first data as output by the first equipment can betrusted (block 615). If so, method 600 might continue to the process atblock 620. If not, the method 600 might proceed to the process at block625. At block 620, method 600 might comprise, based on a determinationthat the first data as output by the first equipment is deemed to betrusted data, sending, with the computing system, the first data to therequesting device.

At block 625, method 600 might comprise, based on a determination thatthe first data is deemed to require further data validation, sending,with the computing system and to a blockchain system, a second requestfor identifying a blockchain containing a block containing a copy of thefirst data that is output by the first equipment. Method 600 mightfurther comprise, in response to the blockchain system identifying ablockchain containing a block containing data responsive to the receivedfirst request, performing the following: receiving, with the computingsystem, a copy of the identified blockchain from the blockchain system(block 630); abstracting, with the computing system and from theidentified blockchain, the block containing the copy of the first data(block 635); abstracting, with the computing system and from the block,the copy of the first data that is output by the first equipment (block640); and sending, with the computing system, the first data to therequesting device (block 645). Method 600 might continue onto theprocess at optional block 650 in FIG. 6B following the circular markerdenoted, “A.”

At optional block 650 in FIG. 6B (following the circular marker denoted,“A”), method 600 might comprise analyzing, with at least one of thecomputing system or the blockchain system, the first data by performingsource validation on the first data. In some cases, the first data mightcomprise source identification information, where performing sourcevalidation on the first data (at optional block 650) might comprisevalidating, with at least one of the computing system or the blockchainsystem, the source identification information contained in the firstdata (optional block 655).

According to some embodiments, method 600 might further comprise, atoptional block 660, analyzing, with the computing system, the first datato predict equipment failure of the first equipment, based on analysisof the first data. In some cases, the first data might include, withoutlimitation, at least one of a status of the first equipment, a change instatus of the first equipment, or one or more alerts output by the firstequipment, and/or the like. In some instances, the first data mightfurther include, but is not limited to, at least one of a sourceidentifier, a date and time stamp associated with each of at least oneof the status of the first equipment, the change in status of the firstequipment, or the one or more alerts output by the first equipment,and/or the like. At block 665, method 600 might comprise, based on adetermination that the first equipment is predicted to encounterequipment failure, reroute data traffic around the first equipment.

In some embodiments, analyzing the first data to determine whether thefirst data as output by the first equipment can be trusted (at block615) might comprise analyzing, with the computing system, the first datain real-time or near-real-time (not shown in FIG. 6). In some cases, thefirst data might comprise at least one of one or more portions of a logof interactions between a user and a service provider, data communicatedby third party service provider systems, data communicated by publicservice systems, or public data, and/or the like. In some instances, theinteractions between the user and the service provider might include,without limitation, at least one of online chats, text messages,telephone conversations, e-mail communications, software applicationusage, or service provider website interaction by the user, and/or thelike. In some cases, the public data might include, but is not limitedto, at least one of weather data, stock data, news data, or streettraffic data, and/or the like.

In some embodiments, sending the first data to the requesting device (atblock 620) might comprise retrieving the first data that is stored inthe cache and sending the retrieved first data to the requesting device(not shown in FIG. 6). According to some embodiments, the computingsystem might first perform verification or authentication tests,including, but not limited to, tests based on time to live (“TTL”)analysis to determine timestamps indicating when such data was stored inthe cache and to determine what such data's TTL might be (e.g., 1 hour,1 day, 1 week, 1 month, etc.). Based on a determination that such datawas stored for a period exceeding its TTL, then such data may beconsidered to be untrustworthy (and thus might send the second requestto the blockchain system, as described in detail above). On the otherhand, based on a determination that such data was stored for a periodwithin its TTL, then the computing system might consider such data to betrustworthy, and might proceed to retrieve the data from the cache andmight send the retrieved data to the requesting device.

According to some embodiments, the first request might comprise a domainname system (“DNS”) request, where the data that is responsive to thereceived first request might comprise a DNS response comprising anInternet protocol (“IP”) address associated with a website. In suchcases, sending the second request to the blockchain system mightcomprise sending, with the computing system and to the blockchainsystem, the second request via a DNS decentralized application (“DApp”).In some embodiments, the first request might comprise a hypertexttransfer protocol (“HTTP”) record request, where the data that isresponsive to the received first request might comprise a JavaScriptobject notation (“JSON”) record response. In such cases, sending thesecond request to the blockchain system might comprise sending, with thecomputing system and to the blockchain system, the second request via arecord request DApp.

In some embodiments, the first request might include, but is not limitedto, one of service provider customer data, webpage information, orequipment service information, and/or the like. In some cases, sendingthe second request to the blockchain system might comprise sending, withthe computing system and to the blockchain system, the second requestvia corresponding one of a service provider customer data DApp, awebpage information DApp, or an equipment service information DApp,and/or the like. In some instances, the service provider customer datamight include, without limitation, one of customer data associated withInternet service, customer data associated with transportation service,customer data associated with cellular communications service, customerdata associated with data services, or customer data associated withmedia content services, and/or the like.

According to some embodiments, the first request might include, but isnot limited to, a request for information regarding a network device. Insome instances, metadata regarding the network device might be containedin the block of the identified blockchain, where the metadata mightinclude, without limitation, at least one of service information for thenetwork device, maintenance information for the network device, usagedata for the network device, geolocation information for the networkdevice, data control information for the network device, informationregarding critical events associated with the network device,information regarding open trouble tickets, or information regardingdata monetization for the network device, and/or the like. In somecases, the service information for the network device and themaintenance information for the network device might be abstracted fromservice records and stored, via the blockchain system, in one or morefirst blocks of a first blockchain. In some instances, the usage datafor the network device and the geolocation information for the networkdevice might be abstracted from usage data records and stored, via theblockchain system, in one or more second blocks of a second blockchain.Alternatively, or additionally, the data control information for thenetwork device might be abstracted from application programminginterface (“API”) calls and stored, via the blockchain system, in one ormore third blocks of a third blockchain. Alternatively, or additionally,the information regarding critical events associated with the networkdevice might be abstracted from a simple network management protocol(“SNMP”) events system and stored, via the blockchain system, in one ormore fourth blocks of a fourth blockchain. Alternatively, oradditionally, the information regarding open trouble tickets might beabstracted from a trouble tickets system and stored, via the blockchainsystem, in one or more fifth blocks of a fifth blockchain.Alternatively, or additionally, the information regarding datamonetization for the network device might be abstracted from a networkserver and stored, via the blockchain system, in one or more sixthblocks of a sixth blockchain. In some embodiments, two or more of thefirst blockchain, the second blockchain, third blockchain, fourthblockchain, fifth blockchain, or sixth blockchain might be the sameblockchain. In some cases, two or more of the one or more first blocks,the one or more second blocks, the one or more third blocks, the one ormore fourth blocks, the one or more fifth blocks, or the one or moresixth blocks might be the same one or more blocks.

FIG. 7 is a schematic diagram illustrating a system 700 for utilizingthe immutable ledger functionality of blockchains to track and/or storeequipment configuration data, in accordance with various embodiments.

In the non-limiting embodiment of FIG. 7, system 700 might comprisecomputing system(s) 705 and corresponding database(s) 710. In someembodiments, the computing system(s) 705 might include, withoutlimitation, one of a data dissemination system, a named data system, adata collection system, a real-time processing system, an artificialintelligence (“AI”) system, a data dissemination system, a named datasystem, a server computer, a cloud-based computing system over anetwork, or a distributed computing system, and/or the like. System 700might further comprise one or more client or requesting devices 715a-715 n (collectively, “client devices 715” or “requesting devices 715”or the like), one or more networks 720, one or more equipment 725 a-725n (collectively, “equipment 725” or the like), one or more caches ordata repositories 730, and a blockchain system 735. In some cases, theone or more requesting devices 715 might each include, but is notlimited to, one of a network node, a service provider device, a laptopcomputer, a desktop computer, a tablet computer, a television set, asmart television, a media player, a gaming console, a set-top box(“STB”), a digital video recording (“DVR”) device, a smart phone, amobile phone, or a personal digital assistant, and/or the like. Thenetwork(s) 720 might communicatively couple together the computingsystem(s) 705, the requesting device(s) 715, the equipment 725, thecache(s) or data repository(ies) 730, and the blockchain system 735.

According to some embodiments, first equipment (i.e., at least one offirst equipment 725 a-725 n, or the like) might be a physical device,where the first equipment might include, without limitation, one of acompute node, an optical network device, a router, a server, an Internetof Things (“IoT”) sensor, an IoT actuator, or a customer interactiondata collection system, and/or the like. Alternatively, the firstequipment might be a virtual device, where the first equipment mightinclude, but is not limited to, one of a virtual compute node, a virtualnetwork device, a virtual router, a virtual server, or a virtualcustomer interaction data collection system, and/or the like. In somecases, the cache(s) or data repository(ies) 730 might comprise a centraldata repository or might alternatively comprise a distributed datarepository system that stores system configuration data (such as thefirst configuration data 755 described below, or the like). In someinstances, the cache(s) or data repository(ies) 730 might also serve asa command acceptance system that receives commands from users regardingaccess and/or storage of the system configuration data, or the like.

In some embodiments, the blockchain system 735 might comprise ablockchain computing system 740, one or more networks 745, and peer datastorage systems #1 through #N 750 a-750 n (collectively, “peer datastorage systems 750,” “distributed peer data storage systems 750,” orthe like), the blockchain computing system 740 and the peer data storagesystems 750 being communicatively coupled to each other via network(s)745. Each instance of a blockchain containing a plurality of blocksmight be stored in two or more of the plurality of peer data storagesystems 750 a-750 n. A non-limiting example of a blockchain (which mightinclude hash values and such, not shown) can be seen in the embodimentof FIG. 2, which is described above. According to some embodiments, dataof a block and hash value of a previous block in the blockchain might beencrypted to produce a hash value, using a cryptographic hash functionincluding, without limitation, one of secure hash algorithm-7 (“SHA-7”)standard (e.g., a 160-bit hash function, or the like), SHA-2 standard(e.g., SHA-256, SHA-512, SHA-224, SHA-384, SHA-512/224, SHA 512/256,and/or the like), or SHA-3 standard (having same hash lengths as SHA-2but differing in internal structure compared with the rest of the SHAfamily of standards), and/or the like.

According to some embodiments, the network(s) 720 and/or 745 might eachinclude a local area network (“LAN”), including, without limitation, afiber network, an Ethernet network, a Token-Ring™ network, and/or thelike; a wide-area network (“WAN”); a wireless wide area network(“WWAN”); a virtual network, such as a virtual private network (“VPN”);the Internet; an intranet; an extranet; a public switched telephonenetwork (“PSTN”); an infra-red network; a wireless network, including,without limitation, a network operating under any of the IEEE 802.11suite of protocols, the Bluetooth™ protocol known in the art, and/or anyother wireless protocol (e.g., LTE protocol, 5G protocol, LoRa protocol,etc.); and/or any combination of these and/or other networks. In aparticular embodiment, the network(s) 720 and/or 745 might include anaccess network of the service provider (e.g., an Internet serviceprovider (“ISP”)). In another embodiment, the network(s) 720 and/or 745might include a core network of the service provider, and/or theInternet.

In operation, computing system 705 might receive, from a requestingdevice (i.e., one of requesting devices 715 a-715 n, or the like), afirst request for first configuration data 755 that is output by firstequipment (i.e., one of equipment 725 a-725 n, or the like), the firstconfiguration data 755 being used to configure operation of the firstequipment. The computing system 705 might determine whether datarepository 730 that is communicatively coupled to the computing system705 (in this case, via network(s) 720, or the like) contains the firstconfiguration data 755 that is responsive to the received first request.Based on a determination that the data repository 730 contains the firstconfiguration data 755 that is responsive to the received first request,the computing system 705 might retrieve the first configuration data 755that is responsive to the received first request, and might send theretrieved first configuration data 755 to the requesting device. Basedon a determination that the data repository does not contain the firstconfiguration data 755 that is responsive to the received first request,the computing system 705 might send, to blockchain system 735, a secondrequest for identifying a blockchain containing a block containing thefirst configuration 755 data responsive to the received first request.

In response to the blockchain system 735 identifying a blockchaincontaining a block containing the first configuration data 755responsive to the received first request, the computing system might:receive a copy of the identified blockchain from the blockchain system735; abstract, from the identified blockchain, the block containing thefirst configuration data 755 responsive to the received first request;abstract, from the identified block, the first configuration data 755responsive to the received first request; and send the firstconfiguration data 755 to the requesting device.

According to some embodiments, the first configuration data 755 mightcomprise second configuration data including, but not limited to, atleast one of basic input/output system (“BIOS”) configuration data,storage configuration data, specialty card configuration data, securityconfiguration data, operating system (“OS”) configuration data, devicedriver configuration data, firmware configuration data, programminglanguage translation configuration data, system utility configurationdata, network configuration data, router configuration data, hostconfiguration data, software configuration data, power configurationdata, extensible firmware interface (“EFI”) configuration data, or EFIsystem partition (“ESP”) configuration data, and/or the like.

In some embodiments, the first configuration data 755 might furthercomprise third configuration data including, without limitation, atleast one of information regarding who created the second configurationdata, information regarding who updated the second configuration data,information regarding who changed the second configuration data,information regarding who has accessed the second configuration data,information regarding requesting devices, information regarding when thesecond configuration data was created, information regarding when thesecond configuration data was updated, information regarding when thesecond configuration data was changed, information regarding when thesecond configuration data was accessed, or geospatial data of requestingdevices, and/or the like. In some instances, the first configurationdata 755 might further comprise a unique identifier (“UID”) associatedwith one of the first equipment or the first configuration data.

According to some embodiments, the first equipment might send fourthconfiguration data 755 to blockchain system 735 (in some cases, asbeacon data or the like) either periodically or in response to at leastone of the fourth configuration data 755 being created, the fourthconfiguration data 755 being updated, the fourth configuration data 755being changed, the first equipment being configured with the fourthconfiguration data 755, configuration of the first equipment beingmodified using the fourth configuration data 755, or configuration ofthe first equipment being changed using the fourth configuration data755. The blockchain system might generate a block of a blockchain byincorporating the fourth configuration data 755 into the block and mightvalidate the generated block. The blockchain containing the generatedblock may be stored in data repository 730. In some embodiments, thefourth configuration data 755 might be similar to the firstconfiguration data 755.

In some embodiments, the equipment 725 a-725 n might each digitally signeach configuration data 755 being sent to the data repository 730 and/orto the blockchain system 735, in some cases, using a private key that isbased on the media access control (“MAC”) address of the equipmentsigning the configuration data. A public key corresponding to theprivate key may be used by the data repository 730 and/or the blockchainsystem 735 to verify the digital signature. This might serve as anadditional layer of trust or validation.

According to some embodiments, the configuration data 755 of FIG. 7might correspond to the data referred to with respect to FIGS. 2-4described above. For example, when stored in a block of the blockchain,the configuration data 755 might correspond to one or more of the datafields 220 of one of the blocks 210 of FIG. 2, or the like.Alternatively, while data collection system 305 of FIG. 3 mightdetermine whether data lake 310 contains configuration data 755 receivedfrom equipment (e.g., at least one of the one or more optical equipment315, the one or more routers 320, the one or more servers 325, the oneor more VMs 330, the one or more customer interaction systems 335, orother internal network system 340, and/or at least one of the one ormore partner systems 345, the one or more public systems 350, the one ormore public data systems 355, or other external network system 360,and/or the like) that can be trusted. If so, in response to a requestfor such configuration data, data collection system 305 might retrievethe trusted configuration data 755 from the data lake 310 (which mightcorrespond to data repository 730 of FIG. 7, or the like). Based on adetermination that the data lake 310 does not contain data that isresponsive to the received request and/or based on a determination thatdata that is stored in the data lake 310 and that is responsive to thereceived request cannot be trusted, the data collection system 305 mightsend a request to the blockchain system 365 to identify a block thatcontains the requested configuration data 755 (in a manner describedabove with respect to FIGS. 3 and 7). Data and source validation asdescribed above with respect to FIG. 3 may also be implemented. In somecases, the data described above with respect to FIG. 4 might comprisethe configuration data 755, and the process of data retrieval and/ordata and source validation of FIG. 4 may be implemented forconfiguration data 755.

In some aspects, the various embodiments might provide a more securecomputing infrastructure using mechanics from verifiable ledger-typevalidation, signing, or trust, etc., with machine configuration detailswhere machines (including, but not limited to, servers, switches, IoTdevices, or the like) act more like a set-top box (“STB”) to actuallyrequest their configuration from a central server. The computinginfrastructure is further made secure by the distributed nature of theblockchain system 735. In particular, copies of the blockchain arestored in two or more of the peer data storage systems 750 a-750 n, andany of these copies of the blockchain may be compared with the othercopies stored in the peer data storage systems 750 to ensureimmutability of the blockchain. For a private blockchain system (such asblockchain system 735), using a proof-of-stake system, the distributionof the copies of the blockchain provides further security over atraditional centralized, secured database, which, if compromised, maylead to compromised or altered data and/or privacy, or the like. In someembodiments, data repository 730 might be a centralized server (e.g.,centralized Redfish server, or the like) that deprecates use of insecuresystems (e.g., intelligent platform management interface (“IPMI”), orthe like) while using a more STB-like check-in with a Redfish-typedeployment to a server or switch with information on where to secureboot (e.g., using pre-boot execution environment (“PXE”), or the like)from an image to come online or to become part of a computeinfrastructure with a current configuration making it ready fordiscovery and service before being re-imaged by changes in a centralizedserver where customer attributes may be updated when the resource isconsumed and needs new configuration applied (like configuration data755, or the like).

These and other functionalities of the various embodiments are describedin detail below with respect to FIGS. 8A and 8B.

FIGS. 8A and 8B (collectively, “FIG. 8”) are flow diagrams illustratinga method 800 for utilizing the immutable ledger functionality ofblockchains to track and/or store equipment configuration data, inaccordance with various embodiments.

While the techniques and procedures are depicted and/or described in acertain order for purposes of illustration, it should be appreciatedthat certain procedures may be reordered and/or omitted within the scopeof various embodiments. Moreover, while the method 800 illustrated byFIG. 8 can be implemented by or with (and, in some cases, are describedbelow with respect to) the systems, examples, or embodiments 100, 200,300, 400, 400′, 500, and 700 of FIGS. 1, 2, 3, 4A, 4B, 5, and 7,respectively (or components thereof), such methods may also beimplemented using any suitable hardware (or software) implementation.Similarly, while each of the systems, examples, or embodiments 100, 200,300, 400, 400′, 500, and 700 of FIGS. 1, 2, 3, 4A, 4B, 5, and 7,respectively (or components thereof), can operate according to themethod 800 illustrated by FIG. 8 (e.g., by executing instructionsembodied on a computer readable medium), the systems, examples, orembodiments 100, 200, 300, 400, 400′, 500, and 700 of FIGS. 1, 2, 3, 4A,4B, 5, and 7 can each also operate according to other modes of operationand/or perform other suitable procedures.

In the non-limiting embodiment of FIG. 8A, method 800, at block 805,might comprise receiving, with a computing system and from a requestingdevice, a first request for first configuration data that is output byfirst equipment, the first configuration data being used to configureoperation of the first equipment.

In some embodiments, the computing system might include, but is notlimited to, one of a data dissemination system, a named data system, adata collection system, a real-time processing system, an artificialintelligence (“AI”) system, a server computer, a cloud-based computingsystem over a network, or a distributed computing system, and/or thelike. In some cases, the requesting device might include, withoutlimitation, one of a network node, a service provider device, a laptopcomputer, a desktop computer, a tablet computer, a television set, asmart television, a media player, a gaming console, a set-top box(“STB”), a digital video recording (“DVR”) device, a smart phone, amobile phone, or a personal digital assistant, and/or the like.According to some embodiments, the first equipment might be a physicaldevice, wherein the first equipment might include, but is not limitedto, one of a compute node, an optical network device, a router, aserver, an Internet of Things (“IoT”) sensor, an IoT actuator, or acustomer interaction data collection system, and/or the like.Alternatively, or additionally, the first equipment might be a virtualdevice, wherein the first equipment might include, without limitation,one of a virtual compute node, a virtual network device, a virtualrouter, a virtual server, or a virtual customer interaction datacollection system, and/or the like.

Merely by way of example, in some cases, the first configuration datamight comprise second configuration data including, but not limited to,at least one of basic input/output system (“BIOS”) configuration data,storage configuration data, specialty card configuration data, securityconfiguration data, operating system (“OS”) configuration data, devicedriver configuration data, firmware configuration data, programminglanguage translation configuration data, system utility configurationdata, network configuration data, router configuration data, hostconfiguration data, software configuration data, power configurationdata, extensible firmware interface (“EFI”) configuration data, or EFIsystem partition (“ESP”) configuration data, and/or the like.

In some instances, the first configuration data might further comprisethird configuration data including, without limitation, at least one ofinformation regarding who created the second configuration data,information regarding who updated the second configuration data,information regarding who changed the second configuration data,information regarding who has accessed the second configuration data,information regarding requesting devices, information regarding when thesecond configuration data was created, information regarding when thesecond configuration data was updated, information regarding when thesecond configuration data was changed, information regarding when thesecond configuration data was accessed, or geospatial data of requestingdevices, and/or the like. In some cases, the first configuration datamight further comprise a unique identifier (“UID”) associated with oneof the first equipment or the first configuration data.

At block 810, method 800 might comprise determining, with the computingsystem, whether a data repository that is communicatively coupled to thecomputing system contains the first configuration data that isresponsive to the received first request. If so, method 800 mightcontinue to the process at block 815. If not, the method 800 mightproceed to the process at block 825. At block 815, method 800 mightcomprise retrieving, with the computing system, the first configurationdata that is responsive to the received first request, and sending, withthe computing system, the retrieved first configuration data to therequesting device (block 820).

At block 825, method 800 might comprise, based on a determination thatthe data repository does not contain the first configuration data thatis responsive to the received first request, sending, with the computingsystem and to a blockchain system, a second request for identifying ablockchain containing a block containing the first configuration dataresponsive to the received first request. In response to the blockchainsystem identifying a blockchain containing a block containing the firstconfiguration data responsive to the received first request, the method800 might further comprise: receiving, with the computing system, a copyof the identified blockchain from the blockchain system (block 830);abstracting, with the computing system and from the identifiedblockchain, the block containing the first configuration data responsiveto the received first request (block 835); abstracting, with thecomputing system and from the identified block, the first configurationdata responsive to the received first request (block 840); and sending,with the computing system, the first configuration data to therequesting device (block 845).

With reference to FIG. 8B, method 800 might comprise, at block 850,sending, with a first equipment, first configuration data to ablockchain system (in some cases, as beacon data) either periodically orin response to at least one of the first configuration data beingcreated, the first configuration data being updated, the firstconfiguration data being changed, the first equipment being configuredwith the first configuration data, configuration of the first equipmentbeing modified using the first configuration data, or configuration ofthe first equipment being changed using the first configuration data,and/or the like. At block 855, method 800 might comprise generating,with the blockchain system, a block of a blockchain by incorporating thefirst configuration data into the block. Method 800 might furthercomprise validating, with the blockchain system, the generated block(block 860). Method 800 might further comprise, at block 865, storingthe blockchain containing the generated block in a data repository.

Exemplary System and Hardware Implementation

FIG. 9 is a block diagram illustrating an exemplary computer or systemhardware architecture, in accordance with various embodiments. FIG. 9provides a schematic illustration of one embodiment of a computer system900 of the service provider system hardware that can perform the methodsprovided by various other embodiments, as described herein, and/or canperform the functions of computer or hardware system (i.e., computingsystems 105, 375, and 705, requesting devices 115 a-115 n, 405 a-405 n,and 715 a-715 n, equipment 125 a-125 n and 725 a-725 n, blockchainsystems 135, 365, 440, 440′, 505, and 735, blockchain computing systems140 and 740, data collection system 305, data dissemination systems(“DDSs”) 410 a-410 n and 520, decentralized applications (“DApps”) 435a-435 f, Client Port Domain Name System (“DNS”) 530, client devices(s)535, etc.), as described above. It should be noted that FIG. 9 is meantonly to provide a generalized illustration of various components, ofwhich one or more (or none) of each may be utilized as appropriate. FIG.9, therefore, broadly illustrates how individual system elements may beimplemented in a relatively separated or relatively more integratedmanner.

The computer or hardware system 900—which might represent an embodimentof the computer or hardware system (i.e., computing systems 105, 375,and 705, requesting devices 115 a-115 n, 405 a-405 n, and 715 a-715 n,equipment 125 a-125 n and 725 a-725 n, blockchain systems 135, 365, 440,440′, 505, and 735, blockchain computing systems 140 and 740, datacollection system 305, DDSs 410 a-410 n and 520, DApps 435 a-435 f,Client Port DNS 530, client device(s) 535, etc.), described above withrespect to FIGS. 1-8—is shown comprising hardware elements that can beelectrically coupled via a bus 905 (or may otherwise be incommunication, as appropriate). The hardware elements may include one ormore processors 910, including, without limitation, one or moregeneral-purpose processors and/or one or more special-purpose processors(such as microprocessors, digital signal processing chips, graphicsacceleration processors, and/or the like); one or more input devices915, which can include, without limitation, a mouse, a keyboard, and/orthe like; and one or more output devices 920, which can include, withoutlimitation, a display device, a printer, and/or the like.

The computer or hardware system 900 may further include (and/or be incommunication with) one or more storage devices 925, which can comprise,without limitation, local and/or network accessible storage, and/or caninclude, without limitation, a disk drive, a drive array, an opticalstorage device, solid-state storage device such as a random accessmemory (“RAM”) and/or a read-only memory (“ROM”), which can beprogrammable, flash-updateable, and/or the like. Such storage devicesmay be configured to implement any appropriate data stores, including,without limitation, various file systems, database structures, and/orthe like.

The computer or hardware system 900 might also include a communicationssubsystem 930, which can include, without limitation, a modem, a networkcard (wireless or wired), an infra-red communication device, a wirelesscommunication device and/or chipset (such as a Bluetooth™ device, an802.11 device, a WiFi device, a WiMax device, a WWAN device, cellularcommunication facilities, etc.), and/or the like. The communicationssubsystem 930 may permit data to be exchanged with a network (such asthe network described below, to name one example), with other computeror hardware systems, and/or with any other devices described herein. Inmany embodiments, the computer or hardware system 900 will furthercomprise a working memory 935, which can include a RAM or ROM device, asdescribed above.

The computer or hardware system 900 also may comprise software elements,shown as being currently located within the working memory 935,including an operating system 940, device drivers, executable libraries,and/or other code, such as one or more application programs 945, whichmay comprise computer programs provided by various embodiments(including, without limitation, hypervisors, VMs, and the like), and/ormay be designed to implement methods, and/or configure systems, providedby other embodiments, as described herein. Merely by way of example, oneor more procedures described with respect to the method(s) discussedabove might be implemented as code and/or instructions executable by acomputer (and/or a processor within a computer); in an aspect, then,such code and/or instructions can be used to configure and/or adapt ageneral purpose computer (or other device) to perform one or moreoperations in accordance with the described methods.

A set of these instructions and/or code might be encoded and/or storedon a non-transitory computer readable storage medium, such as thestorage device(s) 925 described above. In some cases, the storage mediummight be incorporated within a computer system, such as the system 900.In other embodiments, the storage medium might be separate from acomputer system (i.e., a removable medium, such as a compact disc,etc.), and/or provided in an installation package, such that the storagemedium can be used to program, configure, and/or adapt a general purposecomputer with the instructions/code stored thereon. These instructionsmight take the form of executable code, which is executable by thecomputer or hardware system 900 and/or might take the form of sourceand/or installable code, which, upon compilation and/or installation onthe computer or hardware system 900 (e.g., using any of a variety ofgenerally available compilers, installation programs,compression/decompression utilities, etc.) then takes the form ofexecutable code.

It will be apparent to those skilled in the art that substantialvariations may be made in accordance with specific requirements. Forexample, customized hardware (such as programmable logic controllers,field-programmable gate arrays, application-specific integratedcircuits, and/or the like) might also be used, and/or particularelements might be implemented in hardware, software (including portablesoftware, such as applets, etc.), or both. Further, connection to othercomputing devices such as network input/output devices may be employed.

As mentioned above, in one aspect, some embodiments may employ acomputer or hardware system (such as the computer or hardware system900) to perform methods in accordance with various embodiments of theinvention. According to a set of embodiments, some or all of theprocedures of such methods are performed by the computer or hardwaresystem 900 in response to processor 910 executing one or more sequencesof one or more instructions (which might be incorporated into theoperating system 940 and/or other code, such as an application program945) contained in the working memory 935. Such instructions may be readinto the working memory 935 from another computer readable medium, suchas one or more of the storage device(s) 925. Merely by way of example,execution of the sequences of instructions contained in the workingmemory 935 might cause the processor(s) 910 to perform one or moreprocedures of the methods described herein.

The terms “machine readable medium” and “computer readable medium,” asused herein, refer to any medium that participates in providing datathat causes a machine to operate in a specific fashion. In an embodimentimplemented using the computer or hardware system 900, various computerreadable media might be involved in providing instructions/code toprocessor(s) 910 for execution and/or might be used to store and/orcarry such instructions/code (e.g., as signals). In manyimplementations, a computer readable medium is a non-transitory,physical, and/or tangible storage medium. In some embodiments, acomputer readable medium may take many forms, including, but not limitedto, non-volatile media, volatile media, or the like. Non-volatile mediaincludes, for example, optical and/or magnetic disks, such as thestorage device(s) 925. Volatile media includes, without limitation,dynamic memory, such as the working memory 935. In some alternativeembodiments, a computer readable medium may take the form oftransmission media, which includes, without limitation, coaxial cables,copper wire, and fiber optics, including the wires that comprise the bus905, as well as the various components of the communication subsystem930 (and/or the media by which the communications subsystem 930 providescommunication with other devices). In an alternative set of embodiments,transmission media can also take the form of waves (including withoutlimitation radio, acoustic, and/or light waves, such as those generatedduring radio-wave and infra-red data communications).

Common forms of physical and/or tangible computer readable mediainclude, for example, a floppy disk, a flexible disk, a hard disk,magnetic tape, or any other magnetic medium, a CD-ROM, any other opticalmedium, punch cards, paper tape, any other physical medium with patternsof holes, a RAM, a PROM, and EPROM, a FLASH-EPROM, any other memory chipor cartridge, a carrier wave as described hereinafter, or any othermedium from which a computer can read instructions and/or code.

Various forms of computer readable media may be involved in carrying oneor more sequences of one or more instructions to the processor(s) 910for execution. Merely by way of example, the instructions may initiallybe carried on a magnetic disk and/or optical disc of a remote computer.A remote computer might load the instructions into its dynamic memoryand send the instructions as signals over a transmission medium to bereceived and/or executed by the computer or hardware system 900. Thesesignals, which might be in the form of electromagnetic signals, acousticsignals, optical signals, and/or the like, are all examples of carrierwaves on which instructions can be encoded, in accordance with variousembodiments of the invention.

The communications subsystem 930 (and/or components thereof) generallywill receive the signals, and the bus 905 then might carry the signals(and/or the data, instructions, etc. carried by the signals) to theworking memory 935, from which the processor(s) 905 retrieves andexecutes the instructions. The instructions received by the workingmemory 935 may optionally be stored on a storage device 925 eitherbefore or after execution by the processor(s) 910.

As noted above, a set of embodiments comprises methods and systems forimplementing equipment output data validation or equipment failureprediction, and, more particularly, to methods, systems, and apparatusesfor utilizing blockchains to implement data and source validation forequipment output data and/or for equipment failure predict. The set ofembodiments also comprises methods and systems for implementing trackingor storing of equipment configuration data, and, more particularly, tomethods, systems, and apparatuses for utilizing the immutable ledgerfunctionality of blockchains to track and/or store equipmentconfiguration data. FIG. 10 illustrates a schematic diagram of a system1000 that can be used in accordance with one set of embodiments. Thesystem 1000 can include one or more user computers, user devices, orcustomer devices 1005. A user computer, user device, or customer device1005 can be a general purpose personal computer (including, merely byway of example, desktop computers, tablet computers, laptop computers,handheld computers, and the like, running any appropriate operatingsystem, several of which are available from vendors such as Apple,Microsoft Corp., and the like), cloud computing devices, a server(s),and/or a workstation computer(s) running any of a variety ofcommercially-available UNIX™ or UNIX-like operating systems. A usercomputer, user device, or customer device 1005 can also have any of avariety of applications, including one or more applications configuredto perform methods provided by various embodiments (as described above,for example), as well as one or more office applications, databaseclient and/or server applications, and/or web browser applications.Alternatively, a user computer, user device, or customer device 1005 canbe any other electronic device, such as a thin-client computer,Internet-enabled mobile telephone, and/or personal digital assistant,capable of communicating via a network (e.g., the network(s) 1010described below) and/or of displaying and navigating web pages or othertypes of electronic documents. Although the exemplary system 1000 isshown with two user computers, user devices, or customer devices 1005,any number of user computers, user devices, or customer devices can besupported.

Certain embodiments operate in a networked environment, which caninclude a network(s) 1010. The network(s) 1010 can be any type ofnetwork familiar to those skilled in the art that can support datacommunications using any of a variety of commercially-available (and/orfree or proprietary) protocols, including, without limitation, TCP/IP,SNA™, IPX™, AppleTalk™, and the like. Merely by way of example, thenetwork(s) 1010 (similar to network(s) 120, 145, 450, 515, 720, and 745of FIGS. 1, 4, 5, and 7, or the like) can each include a local areanetwork (“LAN”), including, without limitation, a fiber network, anEthernet network, a Token-Ring™ network, and/or the like; a wide-areanetwork (“WAN”); a wireless wide area network (“WWAN”); a virtualnetwork, such as a virtual private network (“VPN”); the Internet; anintranet; an extranet; a public switched telephone network (“PSTN”); aninfra-red network; a wireless network, including, without limitation, anetwork operating under any of the IEEE 802.11 suite of protocols, theBluetooth™ protocol known in the art, and/or any other wireless protocol(e.g., LTE protocol, 5G protocol, LoRa protocol, etc.); and/or anycombination of these and/or other networks. In a particular embodiment,the network might include an access network of the service provider(e.g., an Internet service provider (“ISP”)). In another embodiment, thenetwork might include a core network of the service provider, and/or theInternet.

Embodiments can also include one or more server computers 1015. Each ofthe server computers 1015 may be configured with an operating system,including, without limitation, any of those discussed above, as well asany commercially (or freely) available server operating systems. Each ofthe servers 1015 may also be running one or more applications, which canbe configured to provide services to one or more clients 1005 and/orother servers 1015.

Merely by way of example, one of the servers 1015 might be a dataserver, a web server, a cloud computing device(s), or the like, asdescribed above. The data server might include (or be in communicationwith) a web server, which can be used, merely by way of example, toprocess requests for web pages or other electronic documents from usercomputers 1005. The web server can also run a variety of serverapplications, including HTTP servers, FTP servers, CGI servers, databaseservers, Java servers, and the like. In some embodiments of theinvention, the web server may be configured to serve web pages that canbe operated within a web browser on one or more of the user computers1005 to perform methods of the invention.

The server computers 1015, in some embodiments, might include one ormore application servers, which can be configured with one or moreapplications accessible by a client running on one or more of the clientcomputers 1005 and/or other servers 1015. Merely by way of example, theserver(s) 1015 can be one or more general purpose computers capable ofexecuting programs or scripts in response to the user computers 1005and/or other servers 1015, including, without limitation, webapplications (which might, in some cases, be configured to performmethods provided by various embodiments). Merely by way of example, aweb application can be implemented as one or more scripts or programswritten in any suitable programming language, such as Java™, C, C#™ orC++, and/or any scripting language, such as Perl, Python, or TCL, aswell as combinations of any programming and/or scripting languages. Theapplication server(s) can also include database servers, including,without limitation, those commercially available from Oracle™,Microsoft™, Sybase™, IBM™, and the like, which can process requests fromclients (including, depending on the configuration, dedicated databaseclients, API clients, web browsers, etc.) running on a user computer,user device, or customer device 1005 and/or another server 1015. In someembodiments, an application server can perform one or more of theprocesses for implementing equipment output data validation or equipmentfailure prediction, and, more particularly, to methods, systems, andapparatuses for utilizing blockchains to implement data and sourcevalidation for equipment output data and/or for equipment failurepredict and/or for implementing tracking or storing of equipmentconfiguration data, and, more particularly, to methods, systems, andapparatuses for utilizing the immutable ledger functionality ofblockchains to track and/or store equipment configuration data, asdescribed in detail above. Data provided by an application server may beformatted as one or more web pages (comprising HTML, JavaScript, etc.,for example) and/or may be forwarded to a user computer 1005 via a webserver (as described above, for example). Similarly, a web server mightreceive web page requests and/or input data from a user computer 1005and/or forward the web page requests and/or input data to an applicationserver. In some cases, a web server may be integrated with anapplication server.

In accordance with further embodiments, one or more servers 1015 canfunction as a file server and/or can include one or more of the files(e.g., application code, data files, etc.) necessary to implementvarious disclosed methods, incorporated by an application running on auser computer 1005 and/or another server 1015. Alternatively, as thoseskilled in the art will appreciate, a file server can include allnecessary files, allowing such an application to be invoked remotely bya user computer, user device, or customer device 1005 and/or server1015.

It should be noted that the functions described with respect to variousservers herein (e.g., application server, database server, web server,file server, etc.) can be performed by a single server and/or aplurality of specialized servers, depending on implementation-specificneeds and parameters.

In certain embodiments, the system can include one or more databases1020 a-1020 n (collectively, “databases 1020”). The location of each ofthe databases 1020 is discretionary: merely by way of example, adatabase 1020 a might reside on a storage medium local to (and/orresident in) a server 1015 a (and/or a user computer, user device, orcustomer device 1005). Alternatively, a database 1020 n can be remotefrom any or all of the computers 1005, 1015, so long as it can be incommunication (e.g., via the network 1010) with one or more of these. Ina particular set of embodiments, a database 1020 can reside in astorage-area network (“SAN”) familiar to those skilled in the art.(Likewise, any necessary files for performing the functions attributedto the computers 1005, 1015 can be stored locally on the respectivecomputer and/or remotely, as appropriate.) In one set of embodiments,the database 1020 can be a relational database, such as an Oracledatabase, that is adapted to store, update, and retrieve data inresponse to SQL-formatted commands. The database might be controlledand/or maintained by a database server, as described above, for example.

According to some embodiments, system 1000 might further comprise acomputing system 1025 and corresponding database(s) 1030 (similar tocomputing systems 105, 375, and 705 and corresponding database(s) 110,310, and 710 of FIGS. 1, 3, and 7, or the like). System 1000 mightfurther comprise cache(s) and/or data repository(ies) 1035 (similar tocache(s) or data repository(ies) 130, 415, 525, and 730 or data lake 310of FIGS. 1, 3, 4, 5, and 7, or the like). System 1000 might furthercomprise a blockchain system 1040 (similar to blockchain systems 135,365, 440, 440′, 505, and 735 of FIGS. 1, 3, 4, 5, and 7, or the like),which might comprise a blockchain computing system 1045 (similar toblockchain systems 135, 365, 440, 440′, 505, and 735 of FIGS. 1, 3, 4,5, and 7, or the like), one or more peer data storage systems #1-#N 1055a-1055 n (collectively, “peer data storage systems 1055” or the like;similar to peer data storage systems 150 a-150 n of FIG. 1, or thelike), and network(s) 1050 (similar to networks 145, 450, 515, and 745of FIGS. 1, 4, 5, and 7, or the like). System 1000 might furthercomprise equipment 1060 a-1060 n (collectively, “equipment 1060” or thelike; similar to equipment 125 a-125 n and 725 a-725 n of FIG. 7, or thelike).

In operation, computing system 1025 might receive a first request fordata that is output by first equipment (e.g., at least one of equipment1060, or the like) from a user via a requesting device (i.e., one of therequesting devices or user devices 1005 a or 1005 b, or the like), mightdetermine whether a cache (e.g., cache(s) 1035, or the like) that iscommunicatively coupled to the computing system 1025 (via network(s)1010) contains data that is responsive to the received first request(e.g., data that is output by first equipment, or the like). In someembodiments, the computing system 1025 might also determine whether suchdata that is responsive to the received first request (i.e., data thatis output by the first equipment, etc.) can be trusted. Based on adetermination that the cache(s) 1035 contains data that is responsive tothe received first request and based on a determination that such data(which includes data as output by first equipment) can be trusted,computing system 1025 might retrieve the data that is responsive to thereceived first request, and might send the retrieved data to therequesting device. On the other hand, based on a determination that thecache does not contain data that is responsive to the received firstrequest and/or based on a determination that data that is stored in thecache(s) 1035 and that is responsive to the received first requestcannot be trusted, computing system 1025 might send, to a blockchainsystem (e.g., blockchain system 1040 or blockchain computing system 1045of blockchain system 1040, or the like), a second request foridentifying a blockchain containing a block containing data responsiveto the received first request, by identifying a blockchain containing ablock containing a copy of the first data that is output by the firstequipment.

In response to the blockchain system (e.g., blockchain system 1040 orblockchain computing system 1045 of blockchain system 1040, or the like)identifying a blockchain (such as blockchain 205 of FIG. 2, or the like)containing a block containing data responsive to the received firstrequest, computing system 1025 (or blockchain computing system 1045)might receive a copy of the identified blockchain from the blockchainsystem; might abstract, from the identified blockchain, the blockcontaining the data responsive to the received first request (i.e., thecopy of the data that is output by the first equipment, in this case);might abstract, from the identified block, the data responsive to thereceived first request (i.e., the copy of the data that is output by thefirst equipment, in this case); and might send the data (i.e., the datathat is output by the first equipment) to the requesting device.

In some embodiments, the computing system 1025 might each include,without limitation, one of a data dissemination system, a named datasystem, a data collection system, a real-time processing system, anartificial intelligence (“AI”) system, a server computer, a cloud-basedcomputing system over a network, or a distributed computing system,and/or the like. In some cases, requesting devices might each include,but is not limited to, one of a network node, a service provider device,a laptop computer, a desktop computer, a tablet computer, a televisionset, a smart television, a media player, a gaming console, a set-top box(“STB”), a digital video recording (“DVR”) device, a smart phone, amobile phone, or a personal digital assistant, and/or the like.According to some embodiments, first equipment (i.e., at least one offirst equipment 1060 a-1060 n, or the like) might be a physical device,where the first equipment might include, without limitation, one of acompute node, an optical network device, a router, a server, an Internetof Things (“IoT”) sensor, an IoT actuator, or a customer interactiondata collection system, and/or the like. Alternatively, the firstequipment might be a virtual device, where the first equipment mightinclude, but is not limited to, one of a virtual compute node, a virtualnetwork device, a virtual router, a virtual server, or a virtualcustomer interaction data collection system, and/or the like.

In some aspects, the computing system 1025, the blockchain system 1040,or the blockchain computing system 1045 might analyze the first data byperforming at least one of data validation and/or source validation onthe first data. In some cases, the first data might comprise sourceidentification information, where performing source validation on thefirst data might comprise validating the source identificationinformation contained in the first data. In some embodiments, thecomputing system 1025 might perform at least one of data validationand/or source validation using a combination of two or more of areal-time processing system, an intelligence system, an intelligencealgorithms, and a support systems (which might include, withoutlimitation, business, operations, or development systems, etc.), and/orthe like. Data and/or source validation may, in some embodiments, alsobe performed at cache(s) 1035. In some instances, analyzing the firstdata might comprise analyzing, with the computing system 1025, the firstdata in real-time or near-real-time.

Merely by way of example, in some instances, the determination that thefirst data as output by the first equipment being deemed to be trusteddata might be based on a determination that the first data as output bythe first equipment is within a predetermined range of threshold valuesor parameters, where the determination that the first data is deemed torequire further data validation might be based on a determination thatthe first data exceeds the predetermined range of threshold values orparameters.

According to some embodiments, the computing system 1025 might analyzethe first data to predict equipment failure of the first equipment,based on analysis of the first data, where the first data might include,without limitation, at least one of a status of the first equipment, achange in status of the first equipment, or one or more alerts output bythe first equipment, and/or the like. In some cases, the first datamight further include, but is not limited to, at least one of a sourceidentifier, a date and time stamp associated with each of at least oneof the status of the first equipment, the change in status of the firstequipment, or the one or more alerts output by the first equipment,and/or the like.

In some embodiments, the first data might include, without limitation,at least one of one or more portions of a log of interactions between auser and a service provider, data communicated by third party serviceprovider systems, data communicated by public service systems, or publicdata, and/or the like. In such cases, the interactions between the userand the service provider might include, but is not limited to, at leastone of online chats, text messages, telephone conversations, e-mailcommunications, software application usage, or service provider websiteinteraction by the user, and/or the like. In some instances, the publicdata might include, without limitation, at least one of weather data,stock data, news data, or street traffic data, and/or the like.

According to some embodiments, the first request might comprise a domainname system (“DNS”) request, where the data that is responsive to thereceived first request might comprise a DNS response comprising anInternet protocol (“IP”) address associated with a website. In suchcases, sending the second request to the blockchain system mightcomprise sending, with the computing system and to the blockchainsystem, the second request via a DNS decentralized application (“DApp”).In some embodiments, the first request might comprise a hypertexttransfer protocol (“HTTP”) record request, where the data that isresponsive to the received first request might comprise a JavaScriptobject notation (“JSON”) record response. In such cases, sending thesecond request to the blockchain system might comprise sending, with thecomputing system and to the blockchain system, the second request via arecord request DApp.

In some embodiments, the first request might include, but is not limitedto, one of service provider customer data, webpage information, orequipment service information, and/or the like. In some cases, sendingthe second request to the blockchain system might comprise sending, withthe computing system 1025 and to the blockchain system 1040, the secondrequest via corresponding one of a service provider customer data DApp,a webpage information DApp, or an equipment service information DApp,and/or the like. In some instances, the service provider customer datamight include, without limitation, one of customer data associated withInternet service, customer data associated with transportation service,customer data associated with cellular communications service, customerdata associated with data services, or customer data associated withmedia content services, and/or the like.

According to some embodiments, the first request might include, but isnot limited to, a request for information regarding a network device. Insome instances, metadata regarding the network device might be containedin the block of the identified blockchain, where the metadata mightinclude, without limitation, at least one of service information for thenetwork device, maintenance information for the network device, usagedata for the network device, geolocation information for the networkdevice, data control information for the network device, informationregarding critical events associated with the network device,information regarding open trouble tickets, or information regardingdata monetization for the network device, and/or the like. In somecases, the service information for the network device and themaintenance information for the network device might be abstracted fromservice records and stored, via the blockchain system, in one or morefirst blocks of a first blockchain. In some instances, the usage datafor the network device and the geolocation information for the networkdevice might be abstracted from usage data records and stored, via theblockchain system, in one or more second blocks of a second blockchain.Alternatively, or additionally, the data control information for thenetwork device might be abstracted from application programminginterface (“API”) calls and stored, via the blockchain system, in one ormore third blocks of a third blockchain. Alternatively, or additionally,the information regarding critical events associated with the networkdevice might be abstracted from a simple network management protocol(“SNMP”) events system and stored, via the blockchain system, in one ormore fourth blocks of a fourth blockchain. Alternatively, oradditionally, the information regarding open trouble tickets might beabstracted from a trouble tickets system and stored, via the blockchainsystem, in one or more fifth blocks of a fifth blockchain.Alternatively, or additionally, the information regarding datamonetization for the network device might be abstracted from a networkserver and stored, via the blockchain system, in one or more sixthblocks of a sixth blockchain. In some embodiments, two or more of thefirst blockchain, the second blockchain, third blockchain, fourthblockchain, fifth blockchain, or sixth blockchain might be the sameblockchain. In some cases, two or more of the one or more first blocks,the one or more second blocks, the one or more third blocks, the one ormore fourth blocks, the one or more fifth blocks, or the one or moresixth blocks might be the same one or more blocks.

In some aspects, alternative to the embodiments described above,computing system 1025 and/or server 1015 a or 1015 b (collectively,“computing system,” or the like) might receive, from a requesting device(i.e., one of user devices 1005 a and 1005 b, or the like), a thirdrequest for first configuration data 1065 that is output by firstequipment (i.e., one of equipment 1060 a-1060 n, or the like), the firstconfiguration data 1065 being used to configure operation of the firstequipment. The computing system might determine whether data repository1035 that is communicatively coupled to the computing system (in thiscase, via network(s) 1010, or the like) contains the first configurationdata 1065 that is responsive to the received third request. Based on adetermination that the data repository 1035 contains the firstconfiguration data 1065 that is responsive to the received thirdrequest, the computing system might retrieve the first configurationdata 1065 that is responsive to the received third request, and mightsend the retrieved first configuration data 1065 to the requestingdevice. Based on a determination that the data repository does notcontain the first configuration data 1065 that is responsive to thereceived third request, the computing system might send, to blockchainsystem 1040, a fourth request for identifying a blockchain containing ablock containing the first configuration 1065 data responsive to thereceived third request.

In response to the blockchain system 1040 identifying a blockchaincontaining a block containing the first configuration data 1065responsive to the received third request, the computing system might:receive a copy of the identified blockchain from the blockchain system1040; abstract, from the identified blockchain, the block containing thefirst configuration data 1065 responsive to the received third request;abstract, from the identified block, the first configuration data 1065responsive to the received third request; and send the firstconfiguration data 1065 to the requesting device.

According to some embodiments, the first configuration data 1065 mightcomprise second configuration data including, but not limited to, atleast one of basic input/output system (“BIOS”) configuration data,storage configuration data, specialty card configuration data, securityconfiguration data, operating system (“OS”) configuration data, devicedriver configuration data, firmware configuration data, programminglanguage translation configuration data, system utility configurationdata, network configuration data, router configuration data, hostconfiguration data, software configuration data, power configurationdata, extensible firmware interface (“EFI”) configuration data, or EFIsystem partition (“ESP”) configuration data, and/or the like.

In some embodiments, the first configuration data 1065 might furthercomprise third configuration data including, without limitation, atleast one of information regarding who created the second configurationdata, information regarding who updated the second configuration data,information regarding who changed the second configuration data,information regarding who has accessed the second configuration data,information regarding requesting devices, information regarding when thesecond configuration data was created, information regarding when thesecond configuration data was updated, information regarding when thesecond configuration data was changed, information regarding when thesecond configuration data was accessed, or geospatial data of requestingdevices, and/or the like. In some instances, the first configurationdata 1065 might further comprise a unique identifier (“UID”) associatedwith one of the first equipment or the first configuration data.

According to some embodiments, the first equipment might send fourthconfiguration data 1065 to blockchain system 1040 (in some cases, asbeacon data or the like) either periodically or in response to at leastone of the fourth configuration data 1065 being created, the fourthconfiguration data 1065 being updated, the fourth configuration data1065 being changed, the first equipment being configured with the fourthconfiguration data 1065, configuration of the first equipment beingmodified using the fourth configuration data 1065, or configuration ofthe first equipment being changed using the fourth configuration data1065. The blockchain system might generate a block of a blockchain byincorporating the fourth configuration data 1065 into the block andmight validate the generated block. The blockchain containing thegenerated block may be stored in data repository 1035. In someembodiments, the fourth configuration data 1065 might be similar to thefirst configuration data 1065.

These and other functions of the system 1000 (and its components) aredescribed in greater detail above with respect to FIGS. 1-6.

While certain features and aspects have been described with respect toexemplary embodiments, one skilled in the art will recognize thatnumerous modifications are possible. For example, the methods andprocesses described herein may be implemented using hardware components,software components, and/or any combination thereof. Further, whilevarious methods and processes described herein may be described withrespect to particular structural and/or functional components for easeof description, methods provided by various embodiments are not limitedto any particular structural and/or functional architecture but insteadcan be implemented on any suitable hardware, firmware and/or softwareconfiguration. Similarly, while certain functionality is ascribed tocertain system components, unless the context dictates otherwise, thisfunctionality can be distributed among various other system componentsin accordance with the several embodiments.

Moreover, while the procedures of the methods and processes describedherein are described in a particular order for ease of description,unless the context dictates otherwise, various procedures may bereordered, added, and/or omitted in accordance with various embodiments.Moreover, the procedures described with respect to one method or processmay be incorporated within other described methods or processes;likewise, system components described according to a particularstructural architecture and/or with respect to one system may beorganized in alternative structural architectures and/or incorporatedwithin other described systems. Hence, while various embodiments aredescribed with—or without—certain features for ease of description andto illustrate exemplary aspects of those embodiments, the variouscomponents and/or features described herein with respect to a particularembodiment can be substituted, added and/or subtracted from among otherdescribed embodiments, unless the context dictates otherwise.Consequently, although several exemplary embodiments are describedabove, it will be appreciated that the invention is intended to coverall modifications and equivalents within the scope of the followingclaims.

What is claimed is:
 1. A method, comprising: receiving, with a computingsystem and from a requesting device, a first request for first data thatis output by first equipment; in response to receiving the first requestfor the first data, retrieving, with the computing system, the firstdata that is output by the first equipment; analyzing, with thecomputing system, the first data to determine whether the first data asoutput by the first equipment can be trusted; based on a determinationthat the first data as output by the first equipment is deemed to betrusted data, sending, with the computing system, the first data to therequesting device; based on a determination that the first data isdeemed to require further data validation, sending, with the computingsystem and to a blockchain system, a second request for identifying ablockchain containing a block containing a copy of the first data thatis output by the first equipment; and in response to the blockchainsystem identifying the blockchain containing a copy of the first datathat is output by the first equipment, performing the following:receiving, with the computing system, a copy of the identifiedblockchain from the blockchain system; abstracting, with the computingsystem and from the identified blockchain, the block containing the copyof the first data; abstracting, with the computing system and from theblock, the copy of the first data that is output by the first equipment;sending, with the computing system, the first data to the requestingdevice; analyzing, with at least one of the computing system or theblockchain system, the first data; validating, with at least one of thecomputing system or the blockchain system, source identificationinformation contained in the first data; analyzing, with the computingsystem, the first data to predict equipment failure of the firstequipment, based on analysis of the first data; and based on adetermination that the first equipment is predicted to encounterequipment failure, rerouting data traffic around the first equipment. 2.The method of claim 1, wherein the computing system comprises one of adata collection system, a real-time processing system, an artificialintelligence (“AI”) system, a server computer, a cloud-based computingsystem over a network, or a distributed computing system.
 3. The methodof claim 1, wherein the requesting device comprises one of a networknode, a service provider device, a laptop computer, a desktop computer,a tablet computer, a television set, a smart television, a media player,a gaming console, a set-top box (“STB”), a digital video recording(“DVR”) device, a smart phone, a mobile phone, or a personal digitalassistant.
 4. The method of claim 1, wherein the first equipment is aphysical device, wherein the first equipment comprises one of an opticalnetwork device, a router, a server, an Internet of Things (“IoT”)sensor, an IoT actuator, or a customer interaction data collectionsystem.
 5. The method of claim 1, wherein the first equipment is avirtual device, wherein the first equipment comprises one of a virtualnetwork device, a virtual router, a server, or a virtual customerinteraction data collection system.
 6. The method of claim 1, whereinanalyzing the first data comprises analyzing, with the computing system,the first data in real-time or near-real-time.
 7. The method of claim 1,wherein the determination that the first data as output by the firstequipment being deemed to be trusted data is based on a determinationthat the first data as output by the first equipment is within apredetermined range of threshold values or parameters, wherein thedetermination that the first data is deemed to require further datavalidation is based on a determination that the first data exceeds thepredetermined range of threshold values or parameters.
 8. The method ofclaim 1, wherein the first data comprises at least one of a status ofthe first equipment, a change in status of the first equipment, or oneor more alerts output by the first equipment, wherein the first datafurther comprises at least one of a source identifier, a date and timestamp associated with each of at least one of the status of the firstequipment, the change in status of the first equipment, or the one ormore alerts output by the first equipment.
 9. The method of claim 1,wherein the first data comprises at least one of one or more portions ofa log of interactions between a user and a service provider, datacommunicated by third party service provider systems, data communicatedby public service systems, or public data, wherein the interactionsbetween the user and the service provider comprises at least one ofonline chats, text messages, telephone conversations, e-mailcommunications, software application usage, or service provider websiteinteraction by the user, wherein the public data comprises at least oneof weather data, stock data, news data, or street traffic data.
 10. Anapparatus, comprising: at least one processor; and a non-transitorycomputer readable medium communicatively coupled to the at least oneprocessor, the non-transitory computer readable medium having storedthereon computer software comprising a set of instructions that, whenexecuted by the at least one processor, causes the apparatus to:receive, from a requesting device, a first request for first data thatis output by first equipment; in response to receiving the first requestfor the first data, retrieve the first data that is output by the firstequipment; analyze the first data to determine whether the first data asoutput by the first equipment can be trusted; based on a determinationthat the first data as output by the first equipment is deemed to betrusted data, send the first data to the requesting device; based on adetermination that the first data is deemed to require further datavalidation, send, to a blockchain system, a second request foridentifying a blockchain containing a block containing a copy of thefirst data that is output by the first equipment; and in response to theblockchain system identifying the blockchain containing a copy of thefirst data that is output by the first equipment, perform the following:receiving a copy of the identified blockchain from the blockchainsystem; abstracting, from the identified blockchain, the blockcontaining the copy of the first data; abstracting, from the block, thecopy of the first data that is output by the first equipment; sendingthe first data to the requesting device; analyzing, with at least one ofthe computing system or the blockchain system, the first data;validating, with at least one of the computing system or the blockchainsystem, source identification information contained in the first data;analyzing, with the computing system, the first data to predictequipment failure of the first equipment, based on analysis of the firstdata; and based on a determination that the first equipment is predictedto encounter equipment failure, rerouting data traffic around the firstequipment.
 11. The apparatus of claim 10, wherein the apparatuscomprises one of a data collection system, a real-time processingsystem, an artificial intelligence (“AI”) system, a server computer, acloud-based computing system over a network, or a distributed computingsystem.
 12. The apparatus of claim 10, wherein the requesting devicecomprises one of a network node, a service provider device, a laptopcomputer, a desktop computer, a tablet computer, a television set, asmart television, a media player, a gaming console, a set-top box(“STB”), a digital video recording (“DVR”) device, a smart phone, amobile phone, or a personal digital assistant.
 13. The apparatus ofclaim 10, wherein the determination that the first data as output by thefirst equipment being deemed to be trusted data is based on adetermination that the first data as output by the first equipment iswithin a predetermined range of threshold values or parameters, whereinthe determination that the first data is deemed to require further datavalidation is based on a determination that the first data exceeds thepredetermined range of threshold values or parameters.
 14. The apparatusof claim 10, wherein the first data comprises at least one of a statusof the first equipment, a change in status of the first equipment, orone or more alerts output by the first equipment, wherein the first datafurther comprises at least one of a source identifier, a date and timestamp associated with each of at least one of the status of the firstequipment, the change in status of the first equipment, or the one ormore alerts output by the first equipment.
 15. The apparatus of claim10, wherein the first data comprises at least one of one or moreportions of a log of interactions between a user and a service provider,data communicated by third party service provider systems, datacommunicated by public service systems, or public data, wherein theinteractions between the user and the service provider comprises atleast one of online chats, text messages, telephone conversations,e-mail communications, software application usage, or service providerwebsite interaction by the user, wherein the public data comprises atleast one of weather data, stock data, news data, or street trafficdata.
 16. A system, comprising: a computing system, comprising: at leastone first processor; and a first non-transitory computer readable mediumcommunicatively coupled to the at least one first processor, the firstnon-transitory computer readable medium having stored thereon computersoftware comprising a first set of instructions that, when executed bythe at least one first processor, causes the computing system to:receive, from a requesting device, a first request for first data thatis output by first equipment; in response to receiving the first requestfor the first data, retrieve the first data that is output by the firstequipment; analyze the first data to determine whether the first data asoutput by the first equipment can be trusted; based on a determinationthat the first data as output by the first equipment is deemed to betrusted data, send the first data to the requesting device; based on adetermination that the first data is deemed to require further datavalidation, send, to a blockchain system, a second request foridentifying a blockchain containing a block containing a copy of thefirst data that is output by the first equipment; and in response to theblockchain system identifying the blockchain containing a copy of thefirst data that is output by the first equipment, perform the following:receiving a copy of the identified blockchain from the blockchainsystem; abstracting, from the identified blockchain, the blockcontaining the copy of the first data; abstracting, from the block, thecopy of the first data that is output by the first equipment; sendingthe first data to the requesting device; analyzing, with at least one ofthe computing system or the blockchain system, the first data;validating, with at least one of the computing system or the blockchainsystem, source identification information contained in the first data;analyzing, with the computing system, the first data to predictequipment failure of the first equipment, based on analysis of the firstdata; and based on a determination that the first equipment is predictedto encounter equipment failure, rerouting data traffic around the firstequipment.